-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Buffalo, US-NY
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:56
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Wilmington, US-NC
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:55
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Rochester, US-NY
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:55
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Las Cruces, US-NM
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:54
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Newark, US-NJ
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:53
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Albuquerque, US-NM
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:53
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Cherry Hill, US-NJ
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:52
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Lebanon, US-NH
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:51
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Manchester, US-NH
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:51
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Reno, US-NV
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:50
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: North Platte, US-NE
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:50
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Las Vegas, US-NV
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:49
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Missoula, US-MT
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:48
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Omaha, US-NE
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:47
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Bozeman, US-MT
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:47
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Kansas City, US-MO
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:46
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Tupelo, US-MS
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:46
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Billings, US-MT
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:45
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Springfield, US-MO
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:44
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: St. Louis, US-MO
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:43
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Duluth, US-MN
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:42
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Hattiesburg, US-MS
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:42
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Minneapolis, US-MN
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:41
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Jackson, US-MS
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:40
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Grand Rapids, US-MI
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:40
