Note: The job is a remote job and is open to candidates in USA. SBG Technology Solutions, Inc. (SBG), a DSS, Inc. company, offers Systems Engineering, Enterprise Modernization, Artificial Intelligence, Cyber Security, and IT Governance innovation to Federal and commercial clients nationwide. SBG seeks a seasoned Senior Data Analyst to serve as a technical lead, transforming complex, large-scale datasets into actionable business insights.
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
Skills
- Bachelor's degree in data science, Computer Science, Health Informatics, Statistics, or a related field
- 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
- 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
- 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
- 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
- Desired: Master's degree in health informatics, Data Analytics, or Public Health
- Desired: Certified Health Data Analyst (CHDA) Certified ScrumMaster (CSM)
- Desired: 10+ years of relevant professional experience in data analysis, data governance, and enterprise reporting (federal healthcare or equivalent large-scale environment preferred)
Company Overview