-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Kansas City, US-MO
Salary / Rate: Not Specified
Posted: 2026-09-14 11:43:02
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Jackson, US-MS
Salary / Rate: Not Specified
Posted: 2026-09-14 11:42:58
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Tupelo, US-MS
Salary / Rate: Not Specified
Posted: 2026-09-14 11:42:53
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Duluth, US-MN
Salary / Rate: Not Specified
Posted: 2026-09-14 11:42:50
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Marquette, US-MI
Salary / Rate: Not Specified
Posted: 2026-09-14 11:42:49
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Hattiesburg, US-MS
Salary / Rate: Not Specified
Posted: 2026-09-14 11:42:49
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Springfield, US-MA
Salary / Rate: Not Specified
Posted: 2026-09-14 11:42:45
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Minneapolis, US-MN
Salary / Rate: Not Specified
Posted: 2026-09-14 11:42:40
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Grand Rapids, US-MI
Salary / Rate: Not Specified
Posted: 2026-09-14 11:42:37
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Detroit, US-MI
Salary / Rate: Not Specified
Posted: 2026-09-14 11:42:32
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Boston, US-MA
Salary / Rate: Not Specified
Posted: 2026-09-14 11:42:29
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Baton Rouge, US-LA
Salary / Rate: Not Specified
Posted: 2026-09-14 11:42:26
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Portland, US-ME
Salary / Rate: Not Specified
Posted: 2026-09-14 11:42:21
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Bangor, US-ME
Salary / Rate: Not Specified
Posted: 2026-09-14 11:42:18
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Shreveport, US-LA
Salary / Rate: Not Specified
Posted: 2026-09-14 11:42:15
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Baltimore, US-MD
Salary / Rate: Not Specified
Posted: 2026-09-14 11:42:11
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Bowling Green, US-KY
Salary / Rate: Not Specified
Posted: 2026-09-14 11:42:07
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Aberdeen, US-MD
Salary / Rate: Not Specified
Posted: 2026-09-14 11:42:07
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Louisville, US-KY
Salary / Rate: Not Specified
Posted: 2026-09-14 11:42:06
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: New Orleans, US-LA
Salary / Rate: Not Specified
Posted: 2026-09-14 11:42:05
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Sioux City, US-IA
Salary / Rate: Not Specified
Posted: 2026-09-14 11:42:05
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Wichita, US-KS
Salary / Rate: Not Specified
Posted: 2026-09-14 11:42:00
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Kansas City, US-KS
Salary / Rate: Not Specified
Posted: 2026-09-14 11:41:57
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Indianapolis, US-IN
Salary / Rate: Not Specified
Posted: 2026-09-14 11:41:53
-
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.
-Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support.
-Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation.
-Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability.
-Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads.
-Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness.
-Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting.
-Support low-code solutions by integrating data products into Power Apps and automations using Power Automate.
-Contribute to text and language-focused use cases by preparing and analyzing unstructured data.
-Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate.
-Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity.
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.
-Bachelor's degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline.
-Proficiency with Microsoft Office programs, including Word, Excel, and Access.
-Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas.
-Hands-on exp...
....Read more...
Type: Permanent Location: Davenport, US-IA
Salary / Rate: Not Specified
Posted: 2026-09-14 11:41:52
