Lead Data Analyst

Role overview

Analytics and reporting responsibilities

• Deliver advanced analytics using clinical, operational, pharmacy, claims, and other data for business teams.
• Define, document, and implement ad hoc reports and analytics with business teams and leadership.
• Design actionable metrics and test and monitor clinical performance and outcomes.
• Mine data for trends, opportunities, and best practices; relate disparate datasets to generate insights.
• Build data models to predict member outcomes and identify clinical improvement opportunities.
• Automate manual reporting and develop reporting solutions using the Microsoft BI stack and other tools.
• Communicate results clearly and translate business processes into reporting requirements.
• Interpret medical data for quality measures such as HEDIS and NCQA; align reporting needs with available data.
• Provide ad hoc and standardized reports to executive leadership and internal and external customers.
• Peer-review team work and oversee analysts’ training, mentoring, workload, and priorities.

Minimum qualifications

• Bachelor’s degree in a related field or equivalent work experience required.
• 7+ years of healthcare data analysis and reporting experience required.
• Advanced proficiency with Excel and with SQL, relational databases, SQL Server, querying, data warehouses, and decision support tools required.
• Advanced proficiency with Power BI, Power Query, or other business intelligence tools required.
• Experience managing projects that build data models and analytical solutions to drive business outcomes and decisions required.
• Ability to work independently with limited guidance and balance competing priorities.

Preferred qualifications

• Clinical background and experience with EHR, eClinicalWorks, pharmacy point-of-sale, population health management, or health plan payer systems are strongly preferred.
• Managed Medicaid and Medicare Advantage experience is a plus.
• Experience with the Microsoft BI stack, including SSMS, SSRS, SSIS, and Power BI or other visualization tools, is strongly preferred.
• Experience with R, Python, machine learning, and AI libraries for predictive analytics is preferred.
• Experience with 340B, Medicaid, and Medicare Part B/D pharmacy programs is a plus.