Note: The job is a remote job and is open to candidates in USA. Vanna Health is reimagining healthcare for people living with serious mental illness through psychosocial rehabilitation and community-based care. The Data Analyst – Service & Operations Analytics will analyze claims, service, and operational data to evaluate performance, identify variation and workflow issues, and provide actionable recommendations to internal clinical and operational teams. The role also owns recurring reporting, validates data quality, and supports self-service analytics using SQL, Databricks, Excel, and related tools.
Responsibilities
- Analyze the member journey across attribution, outreach, engagement, assessment, service delivery, intervention, and follow-up
- Monitor and investigate member engagement, assessment completion, timeliness, caseload, care-team activity, and service delivery
- Compare performance across sites, markets, populations, programs, and operational teams
- Identify trends, outliers, performance variation, and potential workflow bottlenecks
- Conduct root-cause exploration using established analytical methods
- Segment populations to understand where operational performance differs and identify factors associated with those differences
- Translate findings into practical recommendations for Operations, Clinical, and other internal partners
- Own defined areas of recurring operational reporting
- Develop Excel-based and other practical reporting solutions that provide teams with timely access to performance information
- Use SQL and Databricks to independently query and analyze governed datasets
- Help establish self-service access to frequently used operational data
- Identify recurring analyses that should be standardized or automated
- Partner with future BI/dashboard resources to transition high-value recurring reports into scalable reporting products
- Validate data before using it for reporting or decision-making
- Perform reconciliation and reasonableness checks
- Identify missing, inconsistent, or unexpected data
- Apply governed metric definitions and business rules consistently
- Document analytical logic and assumptions
- Escalate significant data-quality or methodological concerns to the appropriate Analytics lead
- Partner with other Data team members and Data Engineering when underlying data issues affect analysis
- Develop strong relationships with Operations, Clinical, Product, and other internal teams
- Translate operational questions into structured analyses using established analytical frameworks
- Ask questions that clarify the underlying business problem rather than simply fulfilling report requests
- Explain findings clearly to nontechnical stakeholders
- Distinguish observed patterns from conclusions that require additional analysis
- Recommend operational follow-up when supported by the data
Skills
- • 3–5 years of healthcare analytics experience, including hands-on experience working with medical and/or behavioral health claims data
- • Experience working with claims, eligibility, membership, provider, clinical, or operational data to support healthcare reporting and analysis
- • Experience performing data validation, reconciliation, reasonableness checks, and investigation of missing, inconsistent, or unexpected data
- • Strong data querying skills and demonstrated ability to independently query, join, validate, and analyze large healthcare datasets
- • Working knowledge of common healthcare claims concepts, including diagnosis and procedure codes, dates of service, place of service, provider information, paid/allowed amounts, utilization, and member eligibility
- • Experience analyzing operational or service-performance measures such as member engagement, outreach, assessments, service utilization, workflow completion, timeliness, caseloads, or program performance
- • Ability to apply established analytical definitions and methodologies consistently and recognize when a question requires more advanced methodological review
- • Ability to translate business questions into structured analyses and clearly explain findings to nontechnical operational and clinical stakeholders
- • Demonstrated ability to identify trends, variation, outliers, and potential drivers of performance rather than simply producing reports
- • Experience creating recurring reports, analytical outputs, or dashboards using Excel, BI tools, or similar reporting environments
- • Ability to work effectively in an evolving environment where data, workflows, and reporting requirements may not yet be fully standardized
- • Strong attention to analytical documentation, including metric definitions, assumptions, business rules, and limitations
- • Medicaid, behavioral health, serious mental illness, population health, or care-management analytics
- • Experience with Databricks or another modern cloud data environment
- • Experience combining claims data with clinical, engagement, operational, or product data
Benefits
- Extensive professional development opportunities
Company Overview