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Datavant · 2 weeks ago

Sr. Data Analyst/Risk Adjustment - US Remote

United States

Full-time

Remote

Mid, Senior Level

$128K/yr - $160K/yr

5+ years exp

Datavant is a data platform company and the world’s leader in health data exchange. The Risk Adjustment Sr Data Analyst is an experienced analyst skilled at data modeling and analysis, responsible for ensuring high-quality outcomes for customers by leveraging data and technology for analytics and collaborating with stakeholders to deliver results.

BiopharmaClinical TrialsData IntegrationHealth CareSoftware

No H1B

Responsibilities

Take ownership of complex data workflows, build scalable analytics pipelines, and contribute to productizing insights using modern data tools such as SQL, dbt, Airflow, Snowflake, and Databricks

Analyze large datasets to identify trends, patterns, and insights about coding output to enhance productivity and quality, and turn those needs into actionable reporting

Provide real-time data insights to business on-demand through ad-hoc queries

Use your technical skills and experience to streamline ad-hoc analyses into reusable data products where possible

Collect, interpret, and aggregate data from multiple data sources for supporting risk adjustment medical record coding and quality processes

Design, develop, test, and deploy reporting to support risk adjustment business users’ needs

Automate reporting and analytics when appropriate to make more scalable across customers and deliverable to a broader set of stakeholders

Identify trends in the reporting and work to partner with the teams to improve productivity and quality

Run various risk adjustment models for Medicare Advantage, Medicaid or ACA to forecast patient risk scores and return on investment based on historical data and project variables

Work closely with cross-functional teams, including clients, to understand business needs, and determine the right methodology for analysis and assumptions to provide data-driven insights into program performance and partnerships

Create clear and concise reports to communicate findings and insights to both technical and non-technical stakeholders

Stay abreast of industry trends, new technologies, and methodologies to enhance the team's analytical capabilities

Help guide, mentor and train other junior analysts in support of their direct manager

Qualification

Data analysisSQLRisk Adjustment analyticsPythonData visualizationDatabase technologiesCommunication skillsProblem-solvingTime management

Required

Experienced (5+ years or more) in data analysis, database technologies (Oracle/MS SQL Server, Snowflake, Databricks), SQL queries, MS Excel, Python, etc

Deep understanding of and experience in Risk Adjustment (MA, ACA and MD) business analytics with knowledge of different risk models including HCC, RxHCC, HHS-HCC and CDPS

Intermediate proficiency in SQL (advanced analytic queries), Python (data manipulation and automation, streamlit, etc.), spreadsheets and BI tools

Experience analyzing risk adjustment data for trends, disease/diagnosis prevalence and hierarchy

Experience managing data flows for chart retrieval, RA coding, HEDIS abstraction and quality

Ability to build, architect and deliver robust customer facing and internal reports

Experience in building queries to collect and interpret raw data from databases to support risk adjustment coding and medical record

Experience in using business intelligence, data visualization, query, analytic and statistical software to build solutions, perform analysis and interpret data (SSRS, Power BI, Tableau, Looker, Sigma)

Strong problem-solving skills with the ability to think critically and provide data-driven solutions

Expertise in the data cleaning, preprocessing, manipulation, integration, processing and interrogation of large datasets

Exceptional initiative and ability to solve problems independently, seek help when needed, and take ownership when navigating ambiguity

Excellent communication skills

Well-developed time management skills and demonstrable experience of prioritizing work to meet tight deadlines for client deliverables