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Datavant

Datavant

via Workday

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[Remote] Sr. Data Analyst - US Remote

Anywhere
Full-time
Posted 12/17/2025
Verified Source
Key Skills:
Data Analysis
Workflow Optimization
Operational Efficiency
Stakeholder Collaboration

Compensation

Salary Range

$70K - 120K a year

Responsibilities

Analyzing operational data, streamlining processes, and providing actionable insights to improve efficiency and decision-making.

Requirements

Requires advanced technical skills in SQL, Python, BI tools, and experience in health data analytics and risk adjustment, which are not reflected in your current skill set.

Full Description

Note: The job is a remote job and is open to candidates in USA. Datavant is a data platform company and the world’s leader in health data exchange. The Risk Adjustment Sr Data Analyst will leverage a wide array of data and technology for analytics, ensuring high-quality work and positive outcomes by partnering with various internal and external stakeholders. 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 Skills • 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 • 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 Company Overview • Datavant protects, connects, and delivers the world’s health data to power better decisions and advance human health. It was founded in 2017, and is headquartered in Phoenix, Arizona, USA, with a workforce of 5001-10000 employees. Its website is https://datavant.com.

This job posting was last updated on 12/19/2025

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