Product Analyst
New
J
JobgetherHealthcare analytics
Based in IndiaFull-TimeJunior
Salary not disclosed
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Job Details
- Experience
- 1–3 years of experience in healthcare analytics, product analysis, business analysis, data analysis, or a related role.
- Required Skills
- PythonSQLMicrosoft Power BISnowflakeJiraMicrosoft ExcelAzure DevOps
Requirements
- Bachelor’s degree in Engineering, Technology, Computer Science, or a related field.
- 1–3 years of experience in healthcare analytics, product analysis, business analysis, data analysis, or a related role.
- Hands-on experience with SQL, Power BI, and Microsoft Excel.
- Practical experience analyzing U.S. healthcare data, such as medical or pharmacy claims, patient-level, formulary, or market-access data.
- Strong problem-solving skills, including structuring ambiguous business questions, investigating discrepancies, performing root-cause analysis, and developing recommendations.
- Experience with Snowflake is preferred.
- Understanding of medical and pharmacy claims, payer hierarchies, BIN-PCN-Group data, formulary data, market access, or patient-services analytics is an advantage.
- Exposure to longitudinal patient analysis, treatment patterns, patient journeys, or payer-access analytics is beneficial.
- Familiarity with Python, APIs, JSON, or machine-learning output validation is a plus.
- Experience with Azure DevOps, Jira, or Agile product-development practices is advantageous.
- Working knowledge of U.S. healthcare or market access is preferred; experience in a HIPAA-compliant environment is beneficial.
- Willingness to travel domestically and/or internationally, including occasional overnight travel of up to 5%.
Responsibilities
- Represent the Product team across active projects and participate in daily application operations and development stand-ups.
- Support client data delivery and collaborate with internal stakeholders to maintain high-quality data products.
- Analyze large U.S. healthcare claims datasets to identify patterns, data-quality issues, coverage gaps, and product-improvement opportunities.
- Write and optimize SQL queries for data extraction, profiling, reconciliation, validation, and impact analysis.
- Compare datasets and product outputs to assess the impact of source changes, business rules, data-period changes, and product enhancements.
- Investigate complex data and product issues, perform root-cause analysis, evaluate business impact, and recommend practical solutions.
- Analyze medical and pharmacy claims, prescription, payer, formulary, and patient-level data.
- Support validation of product outputs, analytical processes, data transformations, and machine-learning-generated results.
- Create and maintain data dictionaries, business rules, requirements, test scenarios, and validation results.
- Support functional, regression, and user acceptance testing, data validation, defect investigation, feasibility assessments, and proof-of-concept initiatives.
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