Senior Data Analyst (Remote)

CareFirst•Baltimore, MD

3d•Remote

About The Position

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. This role engages in data exploration using various programming languages, requiring advanced knowledge of multiple database structures. The analyst will collect, analyze, and interpret data to glean insights and develop business-appropriate recommendations. They will research and analyze data flow across complex data ecosystems, including operational and analytical data platforms, and serve as an expert resource supporting data questions and issues from stakeholders, driving them to resolution. The role involves leading the design, development, validation, and delivery of data to provide insight into business decisions, managing the collection of business and technical requirements from stakeholders to deliver data-driven solutions, and producing technical documentation consistent with professional standards. Additionally, the Senior Data Analyst will act as a resource and mentor to junior-level staff.

Requirements

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.
5 years' experience in an analytical/quantitative role.
Must be eligible to work in the U.S. without Sponsorship.

Nice To Haves

Experience in Healthcare Industry
Masters 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
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.

Responsibilities

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.