Sr. Data Analyst - US Remote

The Risk Adjustment Sr Data Analyst is an experienced analyst possessing a deep understanding of the Risk Adjustment business domain and is skilled at data modeling and analysis, and identifying and communicating insights to stakeholders. You will be joining a team that is focused on ensuring the work we do for our customers is of the highest quality and yields positive outcomes. To achieve this, you will leverage a wide array of data and technology for analytics and partner with various internal and external stakeholders to understand business objectives and deliver results.

As a Sr. Data Analyst, you will:

• 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

What you will bring to the table:

• Experienced (3+ 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
• 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

Bonus points if:

• An appreciation of the need for effective data privacy and security methods and an awareness of the relevant legislation
• Experience with cloud services for storage and computing
• Experience with machine learning algorithms
• Knowledgeable in health plan operations and reporting

We are committed to building a diverse team of Datavanters who are smart, nice, and get things done, where every Datavanter is empowered to bring their authentic self to their work. We are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.

Our compensation philosophy is to be externally competitive, internally fair, and not win or lose on compensation. Salary ranges for this position are developed with the support of benchmarks (competitive San Francisco rates for US-based roles) and industry best practices.

We're building a high-growth, high-autonomy culture. We rely less on job titles and more on cultivating an environment where anyone can contribute, the best ideas win, and personal growth is driven by expanding impact. This means we default to simple job titles (e.g., Software Engineer) rather than complex ones (e.g., Senior Software Engineer). The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on level, responsibilities, skills, and experience for a specific job. The estimated salary range for this role is $128,000 - $160,000.