Data Analyst, Senior (Pending Contract Award) SBG

DOCUMENT STORAGE SYSTEMS INC•Alexandria, VA

6d•Onsite

About The Position

SBG seeks a seasoned Senior Data Analyst to serve as a technical lead, transforming complex, large-scale datasets into actionable business insights. The candidate must possess deep functional expertise on VHA systems, processes, and procedures. This role will lead data quality and analytics efforts in support of VA’s EHRM Rapid Decision-Making program, using an array of data analytics tools and will also lean on NLP / ML capabilities. Expertise for this role will enable data-driven decisions for VA EHRM deployments, ServiceNow migration, and patient-safety reporting. Other Duties: Design and deliver visualizations, analysis, and models. Serves as the primary authority for data analysis and reporting across Agile integration, interoperability, and clinical informatics initiatives. Responsible for designing and maintaining data pipelines, performing advanced analytics, and ensuring data integrity for clinical and operational decision-making. Supports integration of multiple health IT systems, validates data migration fidelity, and provides actionable insights to program leadership.

Requirements

Demonstrated experience supporting large, complex federal agencies; prior VA or DoW 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.
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.
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.
Must be a US Citizen and have an active DOD Secret required to be considered for the position
Public Trust clearance eligibility and U.S. work authorization required.
Bachelor's degree in data science, Computer Science, Health Informatics, Statistics, or a related field.
Must be eligible for VA clearance.
8+ years in analytics, data engineering, and visualization tools (e.g., Azure, Databricks)
8+ years of professional experience in data analytics or health informatics.
5+ years working with healthcare data standards (HL7, FHIR, SNOMED, LOINC) and interoperability.

Nice To Haves

Demonstrated expertise in Agile environments (e.g., supporting PI Planning, backlog analytics, velocity metrics);
Data Visualization tools (e.g., Power BI, Tableau) and ETL processes,
Clinical Systems (e.g., VA VistA/CPRS, Oracle Health/Cerner Millennium) and terminology mapping;
Strong background in SQL, Python/R, and data governance for HIPAA-compliant environments.
Master's degree in health informatics, Data Analytics, or Public Health.
Certified Health Data Analyst (CHDA)
Certified ScrumMaster (CSM)
10+ years of relevant professional experience in data analysis, data governance, and enterprise reporting (federal healthcare or equivalent large-scale environment preferred).

Responsibilities

Obtain data through advanced computerized models; extrapolating data patterns through advanced algorithms; developing graphs and charts to display what is improving and what is getting worse, and leveraging Natural Language Processing / Machine Learning capabilities to advance modeling, coding and development for the Data Analytics and Insights workstream.
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.
Embed data‑quality gates and validation points in SAFe PI planning, sprint planning, and demos to ensure production‑ready data.
Design and deliver visualizations, analysis, and models.
Serves as the primary authority for data analysis and reporting across Agile integration, interoperability, and clinical informatics initiatives.
Responsible for designing and maintaining data pipelines, performing advanced analytics, and ensuring data integrity for clinical and operational decision-making.
Supports integration of multiple health IT systems, validates data migration fidelity, and provides actionable insights to program leadership.