Connecting the world’s health data to improve patient outcomes.
Senior Risk Adjustment Data Analyst
Location
United States
Posted
17 days ago
Salary
$128K - $145K / year
Job Description
Job Requirements
- Experienced (5+ years or more) in data analysis, database technologies (Oracle/MS SQL Server, Snowflake, Databricks)
- 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
- 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 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
Benefits
- Health insurance
- 401(k) matching
- Paid time off
- Flexible work arrangements
- Professional development opportunities
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
Intake Coordinator
Home Care Providers of TexasWorking to restore the highest quality of life possible to our patients throughout the Lone Star state.
Position Title: Intake Coordinator Report to: Intake SupervisorPosition Details: The intake coordinator is a self-motivated, task oriented and able to operate in a busy and fast paced environment. A Team player that has the willingness to learn new pro...
The Healthcare Data Analyst is responsible for supporting Cozeva + Vatica’s analytics efforts in support of the Growth team and broader corporate initiatives. These services include, but are not limited to, development of rapid client-facing outputs in...
Data Analyst
Zencastr🎧 🎙️The most reliable Hi-Fi Audio/Video Podcasting Platform. Record podcasts in studio-quality from your web browser.
Data Analyst translating data into actionable insights for business performance
Senior Business Data Analyst - Remote
OptumOptum, part of the UnitedHealth Group family of businesses, is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
Perform data profiling and analysis on health insurer eligibility/membership and claims data; translate business needs into data functional specifications; collaborate with data engineers to build and QA repeatable ETL processes; author documentation and investigate root causes of data issues; develop analyses and communicate production code/process changes to stakeholders.