[Remote] Risk Adjustment Data Analyst

Note: The job is a remote job and is open to candidates in USA. Datavant is the data collaboration platform trusted for healthcare, providing critical data solutions for organizations across the healthcare ecosystem. In this role, you will analyze data and create reports while collaborating with cross-functional teams to improve processes and deliver insights to stakeholders.

Responsibilities

• Gather Business Requirements
• Understand Datavant’s business, products and data stores
• Gather requirements from clients around data analysis
• Work with the customer success managers (CSMs) to review and validate the data analysis requirements
• Perform data manipulation and analysis
• Identify the best sources of primary or secondary data to satisfy business requirements
• Work with cross-functional teams (analytics, data integrations, engineering) to collect and transform data
• Review active project metrics with CSMs to determine if forecasted outcomes are in alignment with expectations
• Communicate Insights
• Use business intelligence tools to create reports and visualizations that communicate results of data analysis
• Combine data from multiple sources and business logic to create standard and custom output reports for delivery
• Present and explain analytical problems, approaches, results, and recommendations
• Improve Processes
• Use preliminary analyses to revise report methodologies, when necessary, and analyze end results
• Develop and implement scripts to automate analyses to solve data problems
• Oversee the implementation of approved process improvements
• Demonstrate Initiative and Focus
• Demonstrate ability to adapt in a rapidly changing environment with evolving product capabilities
• Have a high degree of initiative and customer service focus
• Be a results oriented team player

Skills

• Bachelor's degree in Computer Science, Mathematics, Statistics, Health Services, Economics or equivalent field required
• 1-3 years of hands-on work experience in business intelligence and analytics
• Technical knowledge of BI techniques and tools like Sigma BI, Power BI or Looker
• Experience conducting data analysis in SQL and Excel, and a scripting language like Python, R, SAS
• Strong communication skills necessary to relay complex data analysis requirements to team members and customers
• Strong organizational and planning skills are essential
• Ability to work independently when needed, applying critical thinking and problem solving to achieve a positive outcome
• Experience working in the healthcare industry
• Experience and familiarity with MA, ACA and Medicaid Risk Adjustment models
• Experience with other business intelligence backend and analytics applications
• Familiarity with or interest in learning Databricks, Snowflake, dbt, Airflow, etc for data ETL, pipelines, and intermediate engineering work

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