Senior Data Analyst

Aptive

5d

About The Position

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.

Requirements

• 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.

Nice To Haves

• Knowledge of Veteran populations
• Strong critical thinking and analytical skills
• Proven ability to organize, prioritize, and work well with others
• Ability to communicate thoughts, ideas, and solutions logically both written and orally
• Ability to get up to speed quickly on complex issues; desire to work in a fast-paced, rapidly evolving environment
• Capable self-starter with a drive to get all types of work done and high attention to detail
• Ability to interact and engage with Executive-level stakeholders
• Experience with VHA data systems

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees