Senior Data Analyst (Remote)

Purpose

The purpose of a Sr. Data Analyst is to find meaning in data as a thought leader so that the derived knowledge can be used to make informed decisions and assist the organization in making better business decisions.

Essential Functions

• Engages in data exploration using various programming languages (reading and writing code), requiring advanced knowledge of multiple database structures.
• Collect, analyze, and interpret data to glean insights, and develop business appropriate recommendations.
• Research and analyze data flow across complex data ecosystem including operational and analytical data platforms.
• Serve as an expert resource supporting data questions and issues from stakeholders and driving to resolution.
• Lead in the design, development, validation and delivery of data to provide insight into business decisions.
• Manage the collection of business and technical requirements from Stakeholders to deliver data driven solutions. Produces technical documentation that is consistent with professional standards.
• Be a resource and mentor to junior level staff.

Supervisory Responsibility

Position does not have direct reports but is expected to assist in guiding and mentoring less experienced staff. May lead a team of matrixed resources.

Qualifications

Education Level: Bachelor's Degree in Data Science, Mathematics, Computer Science, Statistics, Business or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.

Experience: 5 years' experience in an analytical/quantitative role.

Preferred Qualifications

• Experience in Healthcare Industry
• Master's degree in a quantitative field preferred (e.g., Business Analytics, Statistics, Data Science)
• Advanced Proficiency In SQL for data extraction, transformation, and complex joins
• Power BI (building paginated and interactive dashboards using Power BI Report Builder and Desktop)
• Microsoft Fabric (dataflows, lakehouses, semantic models)
• Intermediate-to-advanced Python skills (pandas, numpy, matplotlib/seaborn) for data wrangling and analysis
• Experience conducting diagnostic and exploratory data analysis (EDA) to identify trends and root causes
• Ability to apply analytical techniques such as segmentation, regression, time-series analysis
• Strong skills in stakeholder communication and translating analysis into business insights
• Enterprise Healthcare Analytics: Healthcare claims, enrollment, provider, utilization, cost and trend analysis; population health, care management, risk adjustment, or operational performance reporting; identifying opportunities to improve member outcomes, affordability, and operational efficiency
• Legal & Compliance Analytics: Regulatory reporting, compliance monitoring, audit support, or healthcare policy analysis; working with legal, compliance, privacy, risk, or regulatory affairs teams; analyzing healthcare data to support regulatory mandates, investigations, audits, corrective action plans, or compliance reporting obligations; familiarity with CMS, state regulatory requirements, accreditation standards, healthcare regulations, or corporate compliance programs
• Medicare Advantage STARS Analytics: Medicare Advantage, CMS STAR Ratings, HEDIS, CAHPS, HOS, pharmacy quality measures, or quality improvement programs; measuring and monitoring quality performance, member outcomes, and operational drivers impacting STAR Ratings; developing dashboards, scorecards, and predictive analyses to identify performance improvement opportunities

Knowledge, Skills and Abilities (KSAs)

• Quantitative, analytical and problem solving skills.
• Knowledge and understanding of analytical tools, languages, applications, platforms.
• Excellent communication skills both written and verbal.
• Ability to learn quickly and take direction.
• Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence.
• Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.

Pay

Salary Range: $87,264 - $173,316