Senior Data Analyst

Senior Data Analyst

Serve as a strategic partner across the business, leading analytical initiatives that drive operational excellence, improve member outcomes, and support data-informed decision making.

Key Responsibilities

Data Analysis & Insights

Lead complex analyses to identify trends, gaps, and opportunities across clinical, claims, financial, and operational datasets. Translate ambiguous business questions into structured analytical approaches. Deliver clear, concise, and actionable insights to senior leadership and cross-functional teams.

Business Intelligence & Visualization

Design and manage data visualizations using QuickSight and Power BI, Looker, or similar tools. Develop dashboards, metrics, and recurring reports that support strategic and operational needs. Partner with stakeholders to refine reporting requirements and ensure alignment with key performance indicators (KPIs). Ensure data visualizations are intuitive, accurate, and tailored to the intended audience.

Data Management & Quality

Partner with IT teams to improve data pipelines, definitions, integrity, and accessibility. Validate and audit datasets regularly to ensure accuracy and consistency. Recommend process or system enhancements to strengthen data quality and governance. Maintain documentation for data definitions and reporting logic.

Stakeholder Collaboration

Work closely with Operations, Product, Finance, and Clinical leaders to understand data needs and provide analytical support. Support initiatives in population health, quality improvement, and value-based care. Serve as a subject matter expert on data definitions, KPIs, and analytical methodologies. Train end users on Reports that have been generated. Mentor users a minimum of 8 hours a month. Lead or support special projects that require advanced analytical modeling or deep data exploration.

Advanced Analytics & Tools

Apply statistical methods, forecasting models, or other advanced techniques when applicable. Utilize SQL, Python, R, or other tools to extract and manipulate large datasets. Explore opportunities to introduce automation and more sophisticated analytic approaches.

Compliance & Security

Ensure compliance with HIPAA and organizational data governance policies. Follow secure data access standards and remote work security practices. Safeguard all confidential and sensitive health information.

Qualifications

Required

5+ years of experience in data analytics, business intelligence, or a related field. Advanced proficiency with SQL and at least one analytic programming language (e.g., Python or R). Strong Excel skills (pivot tables, Power Query, advanced formulas). Strong experience building dashboards (e.g., QuickSight, Power BI, Looker). Excellent critical thinking skills with the ability to turn complex data into meaningful insights. Strong communication skills, including the ability to tailor insights to technical and non-technical audiences. Experience working with large or complex datasets, preferably in a healthcare or regulated environment.

Preferred

Experience in healthcare analytics, care management, value-based care, or population health. Familiarity with data warehousing concepts and modern analytics infrastructures. Knowledge of statistical modeling, forecasting, or applied data science. Prior experience in a high-growth or tech-enabled organization. Familiarity with HL7/FHIR standards.

Work Environment / Physical Requirements

Ability to work remotely, with reliable internet access. Frequent use of computers, phones, video conferencing tools and related office equipment. May require extended periods of sitting or standing during meetings, training or documentation tasks. Adequate hearing and clear speech for in-person or telephone communication. Vision suitable for reading various documents, including memos, screens, and forms. Able to reach above the shoulder level to work, must be able to bend, squat and sit, stand, stoop, crouch, reach, kneel, twist/turn, etc. Occasional travel may be required depending on organizational needs. May require evening and weekend hours to support business needs.