Sr. Data Analyst​/Risk Adjustment - US Remote

Overview

Sr. Data Analyst/Risk Adjustment – US Remote. Remote – United States. Full-time regular.

• 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 technical skills to streamline ad-hoc analyses into reusable data products where possible.
• Collect, interpret, and aggregate data from multiple data sources to support 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.

• Experienced (5+ years) in data analysis, database technologies (Oracle/MS SQL Server, Snowflake, Databricks), SQL queries, MS Excel, Python, etc.
• Deep understanding 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 building queries to collect and interpret raw data from databases to support risk adjustment coding and medical record.
• Experience 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:
  Appreciation of effective data privacy and security methods and awareness of relevant legislation;
  Experience with cloud services for storage and computing;
  Experience with machine learning algorithms;
  Knowledgeable in health plan operations and reporting.