Sr. Data AnalystRisk Adjustment US Remote
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
3 days ago
Vacancies:
1 Vacancy
Job Summary
Sr. Data Analyst/Risk Adjustment - US Remote
Remote - United States
Full-time regular
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The Risk Adjustment Sr Data Analyst is an experienced analyst possessing a deep understanding of the Risk Adjustment business domain and is skilled at data modeling and analysis and identifying and communicating insights to stakeholders. You will be joining a team that is focused on ensuring the work we do for our customers is of the highest quality and yields positive outcomes. To achieve this you will leverage a wide array of data and technology for analytics and partner with various internal and external stakeholders to understand business objectives and deliver results.
As a Sr. Data Analyst you will:
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 teams analytical capabilities
Help guide mentor and train other junior analysts in support of their direct manager
What you will bring to the table:
Experienced (5 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
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
Bonus points if:
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
Key Skills
- ISO 27001
- Microsoft Access
- Risk Management
- Financial Services
- PCI
- Risk Analysis
- Analysis Skills
- COBIT
- NIST Standards
- SOX
- Information Security
- Data Analysis Skills
