Senior Data Analyst, Clinical Quality and Product
Omada Health
PythonSQLTableau
Senior Claims Data Analyst
Centivo
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $95,000 - $105,000 per year
Job Level
Senior
Tech Stack
AWSCloudPythonSQLTableau
About the role
- Collaborate with claims and stop loss operations teams to understand analytics and reporting needs that drive efficiency and scalability.
- Scope, gather, and structure requirements into actionable opportunities and solutions.
- Extract, manipulate, and analyze large datasets from claims databases using SQL or similar querying languages.
- Translate data into actionable insights and strategic recommendations that inform process improvements, resourcing decisions, and operational priorities.
- Develop models and algorithms to identify trends, anomalies, root causes of inefficiencies and areas for operational improvement.
- Design and maintain scalable dashboards and reports using tools like Tableau, Power BI, or similar platforms.
- Create and monitor productivity and performance metrics to assess and enhance departmental efficiency.
- Present findings to operations leadership with clear narratives that tie analytics to business outcomes.
- Serve as a technical liaison between claims operations and the core data team to ensure accuracy and quality in analytics.
- Develop and maintain SLA reporting to ensure claims operations meet and exceed client expectations.
- Proactively identify and recommend areas for automation, workflow enhancements, and optimization across the claims lifecycle.
- Ensure data integrity and accuracy across all analyses.
Requirements
- Bachelor’s degree in Data Science, Statistics, Healthcare Administration, or a related field.
- 5 years of experience in data analytics, preferably within healthcare or insurance claims operations.
- 5 years of experience in healthcare, claims processing, stop loss reporting and data needs and relevant regulations (e.g., ACA, HIPAA).
- Proficiency in SQL with the ability to write complex queries and manipulate large datasets.
- Strong skills in Python or R for data analysis and insight generation.
- Strong skills in building interactive dashboards using Tableau, Power BI, or equivalent tools.
- Familiarity with data warehousing and cloud platforms (e.g., AWS, Snowflake).
Benefits
- Offers Equity
- Offers Bonus
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythonRdata analysisdata manipulationdashboard developmentdata modelingalgorithm developmentdata integrityperformance metrics
Soft skills
collaborationcommunicationanalytical thinkingproblem-solvingpresentation skillsstrategic thinkingattention to detailproactivityorganizational skillstechnical liaison
