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Salary
≈ $12k – $32k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 1, 2026.

Overview
Company
Impact
Profile match
Discover CoverSelf's innovative, cloud-native platform, designed to tackle healthcare claims and payment inaccuracies.

About CoverSelf:

CoverSelf empowers US healthcare payers with a truly next-generation, cloud-native, holistic, and customizable platform designed to prevent and adapt to the ever-evolving inaccuracies in healthcare claims and payments. By reducing complexity and administrative costs, we offer a unified, healthcare-dedicated platform backed by top VCs like BeeNext, 3One4 Capital, and Z21 Ventures.

Position Overview:

The Data Analyst Intern will gain hands-on experience with US healthcare data used for payment integrity and claims validation. They will learn how raw data from public sources, including CMS and AMA, is collected, cleaned, structured, and loaded into CoverSelf table formats.

No medical coding certification, such as CPC, or prior healthcare experience is required. The Data Management team will provide training in healthcare fundamentals. We value attention to detail, confidence working with data, and a genuine eagerness to learn.

What You Will Do

Data Processing Support

  • Download and collect raw data files from CMS, AMA, and other public healthcare sources
  • Clean and format data using Excel, and progressively with SQL and basic Python
  • Help convert data into CoverSelf table formats
  • Support monthly, quarterly, and annual industry data updates

Table and Code Set Maintenance

  • Assist in maintaining Industry Tables, Custom Tables, and Code Sets
  • Learn effective date banding and historical data tracking
  • Compare old and new file versions and prepare delta (change) summary reports

Quality Checks

  • Perform first-level QA checks: duplicates, blanks, format errors, date overlaps
  • Help prepare data profiling reports
  • Report data mismatches to the team clearly and accurately

Learning and Documentation

  • Learn the basics of US healthcare claims and their key elements, such as CPT, HCPCS, ICD-10, and modifiers
  • Review simple policy and fee schedule updates with team guidance
  • Participate in team discussions and document the work and steps followed

What We Expect from You:

Must Have

  • Currently pursuing or recently completed an undergraduate or postgraduate degree in any Data Science or Statistics
  • Working knowledge of Excel (sorting, filters, lookups, pivot tables, basic formulas)
  • Basic understanding of SQL (SELECT, WHERE, JOIN, GROUP BY) - or willingness to pick it up quickly
  • Attention to detail and patience with careful, repetitive work
  • Clear written and spoken communication
  • Willingness to learn US healthcare concepts from scratch

Good to Have

  • Basic Python knowledge
  • Academic or personal projects involving data cleaning or analysis

What You Will Learn

  • How US healthcare claims and payment integrity work
  • How CMS reference data is built and maintained (CPT, HCPCS, ICD-10, NCCI, fee schedules)
  • Data cleaning, transformation, and QA practices in a product company
  • Hands-on use of Excel, SQL, and Python on real healthcare data
  • How Data, Research, Product, and Technology teams collaborate

Work Details:

  • Location: Basavangudi, Bangalore
  • Mode: Work from Office

Bangalore Candidates Only

Benefits:

  • Best-in-class compensation
  • Health insurance for Family
  • Personal Accident Insurance
  • Friendly and Flexible Leave Policy
  • Certification and Course Reimbursement
  • Medical Coding CEUs and Membership Renewals
  • Health checkup
  • And many more!

Our Commitment to Diversity:

At CoverSelf, we are building a global workplace where every individual can discover their true potential, passion, and purpose - regardless of background, gender, race, sexual orientation, religion, or ethnicity. We believe a diverse workplace fosters innovation, creativity, and progress for our employees, communities, and business.

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