Data Operation Analyst

What You’ll Do
Deck Creation & Automation: Run daily deck automations to generate reports (10–15%). Own direct connect decks end-to-end: ensure 100% QA, escalate concerning metrics, and transition high-revenue decks to AMs (10–15%). Work on custom and strategic QBR decks (30–40%), including adding tailored slides, insights, and SQL/Excel analysis that elevate reporting beyond standard decks. Custom Analysis & Data QA Client-Facing Custom Analysis: Support ad hoc requests from clients, including detailed SQL and Excel-based analysis, and develop custom Retool dashboards where applicable. Data Verification: Validate that revenue transaction reports are accurately ingested from EHR systems and reconcile data discrepancies. Quality Assurance Testing: Develop and execute test plans for data ingestion, identify discrepancies, and document QA results. Mathematical/Financial Analysis: Apply quantitative reasoning to validate numerical accuracy in reports and ensure data integrity. Process Improvement: Collaborate with engineering and operations teams to streamline QA processes, data workflows, and reporting accuracy. Documentation & Reporting: Maintain records of QA activities, mappings, and findings, and present reports to stakeholders. Compliance: Ensure all data handling complies with HIPAA and other regulatory requirements. What You Have Bachelor’s degree in Information Systems, Computer Science, Mathematics, Healthcare Informatics, or related field. Minimum 1 year of experience in data analysis, quality assurance, or technical reporting (healthcare/RCM preferred). Strong technical ability: Proficiency in SQL and Excel (including pivot tables, VLOOKUP, macros, and data analysis). Ability to perform quantitative reasoning to review metrics logically and identify inconsistencies. High attention to detail – able to spot even the smallest errors before work is released. Strong communication skills to relay insights, raise concerns, and collaborate across teams. Familiarity with healthcare revenue cycle and financial reporting (preferred). Experience with data visualisation tools (Tableau, Power BI) is a plus. Growth mindset – ability to become semi-self-sufficient within 2–3 months.