About the job
Datavant is a pioneering data platform and the leading authority in health data exchange. We envision a future where every healthcare decision is driven by accurate data, available at the right moment, and presented in the most effective format.
Our platform harnesses the power of the largest and most diverse health data network in the U.S., ensuring that data is not only secure but also easily accessible and actionable to facilitate informed health decisions. Trusted by top-tier life sciences corporations, government entities, and care providers, Datavant is at the forefront of healthcare innovation.
Joining Datavant means becoming part of a high-performing, values-driven team dedicated to addressing some of healthcare’s most intricate challenges through technology-led solutions. Our team members, or 'Datavanters', bring a wealth of diverse professional and personal experiences to help realize our ambitious vision for the future of healthcare.
As a Senior Data Analyst focusing on Risk Adjustment, you will possess a comprehensive understanding of the Risk Adjustment domain and excel in data modeling and analysis. Your role will involve extracting and communicating valuable insights to stakeholders, ensuring our client deliverables are of the highest quality and drive positive outcomes. You will leverage a robust suite of data and technology to perform analytics and collaborate with both internal and external partners to meet business objectives and deliver impactful results.
In this role, you will:
- Manage complex data workflows, develop scalable analytics pipelines, and contribute to the productization of insights utilizing modern data tools such as SQL, dbt, Airflow, Snowflake, and Databricks.
- Analyze extensive datasets to uncover trends, patterns, and insights related to coding outputs, enhancing productivity and quality, and transform those insights into actionable reports.
- Deliver real-time data insights to the business through ad-hoc queries as needed.
- Utilize your technical expertise to streamline ad-hoc analyses into reusable data products wherever feasible.
- Aggregate and interpret data from various sources to support risk adjustment medical record coding and quality processes.
- Design, develop, test, and deploy reporting solutions tailored to risk adjustment business users’ requirements.
- Automate reporting and analytics processes when applicable to enhance scalability and accessibility for a broader audience.
Identify trends in reporting and collaborate with teams to enhance productivity and quality.

