-
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: Richmond, US-VA
Salary / Rate: Not Specified
Posted: 2026-09-14 11:45:24
-
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: Bennington, US-VT
Salary / Rate: Not Specified
Posted: 2026-09-14 11:45:21
-
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: Burlington, US-VT
Salary / Rate: Not Specified
Posted: 2026-09-14 11:45:17
-
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: Seattle, US-WA
Salary / Rate: Not Specified
Posted: 2026-09-14 11:45:12
-
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: St. George, US-UT
Salary / Rate: Not Specified
Posted: 2026-09-14 11:45:09
-
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: Lubbock, US-TX
Salary / Rate: Not Specified
Posted: 2026-09-14 11:45:06
-
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: Salt Lake City, US-UT
Salary / Rate: Not Specified
Posted: 2026-09-14 11:45:01
-
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: San Antonio, US-TX
Salary / Rate: Not Specified
Posted: 2026-09-14 11:44:58
-
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: Dallas, US-TX
Salary / Rate: Not Specified
Posted: 2026-09-14 11:44:57
-
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: Columbia, US-SC
Salary / Rate: Not Specified
Posted: 2026-09-14 11:44:56
-
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.
-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 Falls, US-SD
Salary / Rate: Not Specified
Posted: 2026-09-14 11:44:56
-
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.
-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: Memphis, US-TN
Salary / Rate: Not Specified
Posted: 2026-09-14 11:44:55
-
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.
-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: Rapid City, US-SD
Salary / Rate: Not Specified
Posted: 2026-09-14 11:44:54
-
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.
-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: Houston, US-TX
Salary / Rate: Not Specified
Posted: 2026-09-14 11:44:54
-
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.
-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: Nashville, US-TN
Salary / Rate: Not Specified
Posted: 2026-09-14 11:44:53
-
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: Pittsburgh, US-PA
Salary / Rate: Not Specified
Posted: 2026-09-14 11:44:53
-
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: Eugene, US-OR
Salary / Rate: Not Specified
Posted: 2026-09-14 11:44:48
-
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.
-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: Newport, US-RI
Salary / Rate: Not Specified
Posted: 2026-09-14 11:44:45
-
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: Providence, US-RI
Salary / Rate: Not Specified
Posted: 2026-09-14 11:44:40
-
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: Philadelphia, US-PA
Salary / Rate: Not Specified
Posted: 2026-09-14 11:44:37
-
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: Charleston, US-SC
Salary / Rate: Not Specified
Posted: 2026-09-14 11:44:34
-
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: Columbus, US-OH
Salary / Rate: Not Specified
Posted: 2026-09-14 11:44:29
-
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: Cleveland, US-OH
Salary / Rate: Not Specified
Posted: 2026-09-14 11:44:25
-
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: Cincinnati, US-OH
Salary / Rate: Not Specified
Posted: 2026-09-14 11:44:25
-
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: Tulsa, US-OK
Salary / Rate: Not Specified
Posted: 2026-09-14 11:44:24
