Edtech.com's Summary

Aptive is hiring a Senior Data Analyst responsible for managing and analyzing data related to VA's EHRM Single-Pathway Issue-Resolution program. The role requires expertise in VHA systems and advanced analytics to support data quality, reporting, and decision-making for EHRM deployments, SNOW migration, and patient safety.

Highlights

Lead data quality and analytics efforts supporting VA’s EHRM programs.
Analyze and extract data patterns using advanced algorithms and create explanatory graphs and charts.
Monitor and validate data pipelines in RMA, ServiceNow, and Power Apps, conducting root cause analysis with SQL, R, and Python.
Define and enforce enterprise data quality rules and automate quality checks using Power Automate, SQL, and Python.
Maintain metadata and data lineage compliance using Microsoft Purview and Collibra.
Validate Tableau and Power BI dashboards against data integrity and accessibility standards.
Engage with executive-level stakeholders to translate complex data into actionable insights.
Required skills: advanced expertise in SQL, R, Python, Tableau, Power BI, Microsoft Purview, Collibra, ServiceNow, and Power Apps.
Qualifications: Master’s degree, 10+ years in data analysis and governance, experience with federal healthcare or large-scale environments, and eligibility for Public Trust clearance.
Supported clients include Veterans Health Administration and other federal agencies.

Senior Data Analyst Full Description

Job Summary:

Aptive seeks a seasoned Senior Data Analyst that is responsible for overall data management and analysis of all areas identified in the PWS and must possess a deep functional expertise on VHA systems, processes, and procedures. At a minimum, the Data Analyst, Senior shall possess a master’s degree and 10 years of experience. This role will lead data quality and analytics efforts in support of VA’s EHRM Single-Pathway Issue-Resolution program. Expertise for this role will enable data-driven decisions for EHRM deployments, SNOW migration, and patient-safety reporting.

Primary Responsibilities:

Obtain data through advanced computerized models; extrapolating data patterns through advanced algorithms; developing simple graphs and charts to explain how mathematical information will influence the specific project or business
Present to managers how to best alter their business models to generate profitable future trends.
In-depth knowledge of VHA Systems and files, to include, but not limited to: Corporate Data Warehouse (CDW); Veterans Health Information Systems and Technology Architecture (VistA); VHA Support Service Center (VSSC); VHA Reports and Measurement Portal (RAMP); Patient Treatment File (PTF) (MedSAS); Managerial Cost Accounting (MCA) System; Primary Care Management Module (PCMM); The National Patient Care Database (NPCD); Veterans Services Network Corporate Mini Master File (VETSNET File); etc.
Obtain data through advanced computerized models; extrapolating data patterns through advanced algorithms; developing simple graphs and charts to display what is improving and what is getting worse.
Monitor and validate RMA, ServiceNow, and Power Apps data pipelines; proactively surface anomalies, perform root‑cause analysis (SQL/R/Python), and drive remediation with CPMO/OCI owners.
Define and operationalize enterprise data‑quality rules, thresholds, and KPI scorecards; codify repeatable QC playbooks and automate checks in Power Automate/SQL/Python; publish results in Purview and related governance tools.
Lead Tier 0 → Tier 1 data stewardship and maintain end‑to‑end lineage/metadata in Purview/Collibra, ensuring accessibility, traceability, and VA/VHA compliance.
Certify Tableau/Power BI dashboards and reports against integrity and accessibility standards; coordinate remediation with analytics teams. (Validation/certification—not chart creation—to avoid overlap with bullets 1 & 4.)
Embed data‑quality gates and validation points in SAFe PI planning, sprint planning, and demos to ensure production‑ready data.

Minimum Qualifications:

10+ years of relevant professional experience in data analysis, data governance, and enterprise reporting (federal healthcare or equivalent large-scale environment preferred).
Masters degree.
Demonstrated experience supporting large, complex federal agencies; prior VA or DoD experience highly desirable.
Advanced expertise in SQL (query optimization, ETL processes), R (statistical modeling, predictive analytics), Python (data wrangling, automation), Tableau and Power BI (dashboard development, performance optimization).
Proven experience with data governance tools (e.g., Microsoft Purview, Collibra) and enterprise systems (e.g., ServiceNow, Power Apps).
Ability to engage with and present to Executive-level stakeholders, synthesizing complex data into actionable insights.
Strong background in data quality management and advanced analytics to support organizational decision-making.
Ability to lead workstreams, mentor junior analysts, and manage cross-functional collaboration.
Advanced proficiency with Microsoft Office applications (Excel, Word, PowerPoint) including automation and advanced analytics integration.
Public Trust clearance eligibility and U.S. work authorization required.

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: 2012
Employees: 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.

Original Job Description

Job Summary:

Obtain data through advanced computerized models; extrapolating data patterns through advanced algorithms; developing simple graphs and charts to explain how mathematical information will influence the specific project or business
Present to managers how to best alter their business models to generate profitable future trends.
In-depth knowledge of VHA Systems and files, to include, but not limited to: Corporate Data Warehouse (CDW); Veterans Health Information Systems and Technology Architecture (VistA); VHA Support Service Center (VSSC); VHA Reports and Measurement Portal (RAMP); Patient Treatment File (PTF) (MedSAS); Managerial Cost Accounting (MCA) System; Primary Care Management Module (PCMM); The National Patient Care Database (NPCD); Veterans Services Network Corporate Mini Master File (VETSNET File); etc.
Obtain data through advanced computerized models; extrapolating data patterns through advanced algorithms; developing simple graphs and charts to display what is improving and what is getting worse.
Monitor and validate RMA, ServiceNow, and Power Apps data pipelines; proactively surface anomalies, perform root‑cause analysis (SQL/R/Python), and drive remediation with CPMO/OCI owners.
Define and operationalize enterprise data‑quality rules, thresholds, and KPI scorecards; codify repeatable QC playbooks and automate checks in Power Automate/SQL/Python; publish results in Purview and related governance tools.
Lead Tier 0 → Tier 1 data stewardship and maintain end‑to‑end lineage/metadata in Purview/Collibra, ensuring accessibility, traceability, and VA/VHA compliance.
Certify Tableau/Power BI dashboards and reports against integrity and accessibility standards; coordinate remediation with analytics teams. (Validation/certification—not chart creation—to avoid overlap with bullets 1 & 4.)
Embed data‑quality gates and validation points in SAFe PI planning, sprint planning, and demos to ensure production‑ready data.

Minimum Qualifications:

10+ years of relevant professional experience in data analysis, data governance, and enterprise reporting (federal healthcare or equivalent large-scale environment preferred).
Masters degree.
Demonstrated experience supporting large, complex federal agencies; prior VA or DoD experience highly desirable.
Advanced expertise in SQL (query optimization, ETL processes), R (statistical modeling, predictive analytics), Python (data wrangling, automation), Tableau and Power BI (dashboard development, performance optimization).
Proven experience with data governance tools (e.g., Microsoft Purview, Collibra) and enterprise systems (e.g., ServiceNow, Power Apps).
Ability to engage with and present to Executive-level stakeholders, synthesizing complex data into actionable insights.
Strong background in data quality management and advanced analytics to support organizational decision-making.
Ability to lead workstreams, mentor junior analysts, and manage cross-functional collaboration.
Advanced proficiency with Microsoft Office applications (Excel, Word, PowerPoint) including automation and advanced analytics integration.
Public Trust clearance eligibility and U.S. work authorization required.

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