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HomeCompaniesCareers Aptiveresources Icims ComData Analyst, Sr – AI Research Systems Support

Data Analyst, Sr – AI Research Systems Support

Careers Aptiveresources Icims Com · Remote, UNAVAILABLE, US · Remote · Active · iCIMS

Job facts

FieldValue
CompanyCareers Aptiveresources Icims Com
TitleData Analyst, Sr – AI Research Systems Support
Normalized title-
Department / teamVeteran Health - Consulting Roles on VHA Projects
LocationUNAVAILABLE, United States
Work modelRemote / Remote
Employment typePart Time
Salary-
Statusactive
ATS provideriCIMS
Posted / first seen2026-06-03 / 2026-06-03
Changed / last seen2026-06-06 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Careers Aptiveresources Icims Com.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through iCIMS.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Veteran Health - Consulting Roles on VHA Projects.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyCareers Aptiveresources Icims Com
Source05314197-bc33-4a88-ade0-de846c46b3ef
ATS provideriCIMS

Description

Job Summary Aptive Resources is seeking a Senior Data Analyst to support artificial intelligence (AI), analytics, and data modernization initiatives within the Department of Veterans Affairs (VA) Office of Research and Development (ORD). This role supports enterprise AI activities focused on research portfolio analysis, operational reporting, AI-enabled analytics, and development of scalable data capabilities supporting research, policy, and operational decision-making. The Senior Data Analyst will support data analysis, reporting, statistical programming, and analytics activities associated with strategic AI initiatives, research operations, and enterprise modernization efforts. The position will work closely with technical teams, project managers, operational leadership, and stakeholders to support data integration, reporting automation, AI pilot initiatives, and analytics-driven operational improvements. The ideal candidate will have experience supporting analytics, reporting, statistical analysis, and enterprise data operations in healthcare, research, or enterprise operational environments. This is a full-time (40 hours/week), 100% remote position. It is currently funded through September 29, 2026 under the current contract period of performance, with potential for extension into the next option year based on contract continuation and program needs. Primary Responsibilities Support analytics and reporting activities associated with enterprise AI, research, and operational modernization initiatives. Develop and maintain dashboards, reports, data visualizations, and operational analytics supporting leadership decision-making. Perform data extraction, transformation, analysis, validation, and reporting activities across multiple enterprise data sources. Support development and optimization of ETL workflows, reporting processes, and analytics activities. Conduct statistical programming, data analysis, and operational reporting activities supporting research and organizational priorities. Support AI-enabled analytics initiatives, including activities involving large language models (LLMs), retrieval workflows, and operational data analysis. Assist with development of scalable analytics workflows and rapid testing approaches to improve operational efficiency and reporting responsiveness. Support integration and analysis of data from research systems, operational platforms, databases, and cloud-based environments. Collaborate with technical and operational stakeholders to support AI pilots, analytics initiatives, and reporting priorities. Support data quality management, validation, and continuous improvement activities. Prepare summaries, presentations, dashboards, and executive-level reporting materials for technical and non-technical audiences. Minimum Qualifications Bachelor’s degree in data science, statistics, computer science, healthcare informatics, mathematics, public health, or a related field. 8+ years of experience supporting data analytics, reporting, statistical programming, or enterprise data operations in a complex organization. Experience with SQL, Python, ETL processes, databases, and analytics/reporting environments. Experience developing dashboards, reports, data visualizations, or business intelligence solutions. Experience supporting cloud-based analytics, data warehouse, or data lake environments. Familiarity with AI/ML technologies, large language models (LLMs), or AI-enabled analytics workflows. Strong analytical and problem-solving skills with the ability to synthesize complex data into actionable insights. Experience supporting data quality management and validation activities. Ability to communicate technical findings clearly to executive and non-technical stakeholders. Proficiency with Microsoft Office Suite, including Excel and PowerPoint. Ability to work independently in a remote environment while managing multiple priorities. Ability to obtain and maintain a public trust clearance. Legal authorization to work in the United States. Desired Qualifications Experience supporting VA, VHA, federal healthcare, research, or enterprise analytics environments. Experience with Power BI, Tableau, or similar business intelligence and visualization platforms. Experience supporting AI-enabled analytics, retrieval workflows, or data-driven reporting solutions. Familiarity with REDCap, healthcare data systems, or research data environments. Experience supporting operational analytics, portfolio analysis, or reporting modernization initiatives. Familiarity with cloud platforms such as Azure or AWS. Experience working in fast-paced, matrixed environments supporting multiple concurrent priorities. High degree of professionalism, discretion, and mature judgment in handling sensitive information. About Aptive Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation. ​ We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day. ​ Founded: 2012Employees: 300+ nationwide EEO Statement Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class. Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply.

Full job record

Job ID5e6af8393ef32964200bae9acb29e6514b616d54
Org IDd721fa09-e740-408d-91a7-858f1904a88b
Source ID05314197-bc33-4a88-ade0-de846c46b3ef
Board ID05314197-bc33-4a88-ade0-de846c46b3ef
Providericims
Provider Job Key4376
TitleData Analyst, Sr – AI Research Systems Support
Normalized Title
Statusactive
Activeyes
Location TextRemote, UNAVAILABLE, US
DepartmentVeteran Health - Consulting Roles on VHA Projects
Team
Employment Typepart_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionUNAVAILABLE
City
Salary RawJob Summary Aptive Resources is seeking a Senior Data Analyst to support artificial intelligence (AI), analytics, and data modernization initiatives within the Department of Veterans Affairs (VA) Office of Research and Development (ORD). This role supports enterprise AI activities focused on research portfolio analysis, operational reporting, AI-enabled analytics, and development of scalable data capabilities supporting research, policy, and operational decision-making. The Senior Data Analyst will support data analysis, reporting, statistical programming, and analytics activities associated with strategic AI initiatives, research operations, and enterprise modernization efforts. The position will work closely with technical teams, project managers, operational leadership, and stakeholders to support data integration, reporting automation, AI pilot initiatives, and analytics-driven operational improvements. The ideal candidate will have experience supporting analytics, reporting, statistical analysis, and enterprise data operations in healthcare, research, or enterprise operational environments. This is a full-time (40 hours/week), 100% remote position. It is currently funded through September 29, 2026 under the current contract period of performance, with potential for extension into the next option year based on contract continuation and program needs. Primary Responsibilities Support analytics and reporting activities associated with enterprise AI, research, and operational modernization initiatives. Develop and maintain dashboards, reports, data visualizations, and operational analytics supporting leadership decision-making. Perform data extraction, transformation, analysis, validation, and reporting activities across multiple enterprise data sources. Support development and optimization of ETL workflows, reporting processes, and analytics activities. Conduct statistical programming, data analysis, and operational reporting activities supporting research and organizational priorities. Support AI-enabled analytics initiatives, including activities involving large language models (LLMs), retrieval workflows, and operational data analysis. Assist with development of scalable analytics workflows and rapid testing approaches to improve operational efficiency and reporting responsiveness. Support integration and analysis of data from research systems, operational platforms, databases, and cloud-based environments. Collaborate with technical and operational stakeholders to support AI pilots, analytics initiatives, and reporting priorities. Support data quality management, validation, and continuous improvement activities. Prepare summaries, presentations, dashboards, and executive-level reporting materials for technical and non-technical audiences. Minimum Qualifications Bachelor’s degree in data science, statistics, computer science, healthcare informatics, mathematics, public health, or a related field. 8+ years of experience supporting data analytics, reporting, statistical programming, or enterprise data operations in a complex organization. Experience with SQL, Python, ETL processes, databases, and analytics/reporting environments. Experience developing dashboards, reports, data visualizations, or business intelligence solutions. Experience supporting cloud-based analytics, data warehouse, or data lake environments. Familiarity with AI/ML technologies, large language models (LLMs), or AI-enabled analytics workflows. Strong analytical and problem-solving skills with the ability to synthesize complex data into actionable insights. Experience supporting data quality management and validation activities. Ability to communicate technical findings clearly to executive and non-technical stakeholders. Proficiency with Microsoft Office Suite, including Excel and PowerPoint. Ability to work independently in a remote environment while managing multiple priorities. Ability to obtain and maintain a public trust clearance. Legal authorization to work in the United States. Desired Qualifications Experience supporting VA, VHA, federal healthcare, research, or enterprise analytics environments. Experience with Power BI, Tableau, or similar business intelligence and visualization platforms. Experience supporting AI-enabled analytics, retrieval workflows, or data-driven reporting solutions. Familiarity with REDCap, healthcare data systems, or research data environments. Experience supporting operational analytics, portfolio analysis, or reporting modernization initiatives. Familiarity with cloud platforms such as Azure or AWS. Experience working in fast-paced, matrixed environments supporting multiple concurrent priorities. High degree of professionalism, discretion, and mature judgment in handling sensitive information. About Aptive Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation. ​ We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day. ​ Founded: 2012Employees: 300+ nationwide EEO Statement Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class. Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply.
Salary Min
Salary Max
Salary Currency
Salary Periodday
Source URLhttps://careers-aptiveresources.icims.com/jobs/4376/data-analyst%2c-sr-%e2%80%93-ai-research-systems-support/job
Apply URLhttps://careers-aptiveresources.icims.com/jobs/4376/data-analyst%2c-sr-%e2%80%93-ai-research-systems-support/job
First Seen At2026-06-03 14:03:37Z
Last Seen At2026-06-06 18:53:29Z
Last Checked At2026-06-06 18:53:29Z
Last Changed At2026-06-06 08:12:03Z
Inactive At
Source Posted At2026-06-03 04:00:00Z
Source Updated At2026-06-02 11:53:14Z
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