Product Analyst
New
P
Precision Medicine GroupHealthcare analytics
Location: Remote, IndiaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 1 to 3 years of experience in healthcare analytics, product analysis, business analysis, data analysis, or a related role.
- Required Skills
- PythonSQLMicrosoft Power BISnowflakeMicrosoft ExcelRESTful APIsJSONAzure DevOps
Requirements
- Hold a bachelor’s degree in engineering (B.E.) or technology (B. Tech.); a degree in computer science or a related field is preferred.
- Have 1 to 3 years of experience in healthcare analytics, product analysis, business analysis, data analysis, or a related role.
- Have hands-on experience with SQL, Power BI, and Microsoft Excel.
- Have hands-on experience analyzing US healthcare data.
- Have experience with medical, pharmacy claims, or patient-level data, such as McKesson Compile, Symphony PatientSource, Komodo Health, or equivalent sources.
- Have experience with formulary and market-access data, such as MMIT, DRG Fingertip, or equivalent sources.
- Demonstrate problem-solving skills, including investigating data discrepancies, performing root-cause analysis, and recommending actionable solutions.
- Preferred: hands-on experience with Snowflake.
- Preferred: familiarity with Python, APIs, JSON, or machine-learning output validation.
- Preferred: experience with Azure DevOps, Jira, or Agile product-development practices.
- Preferred: understanding of medical and pharmacy claims, payer hierarchies, BIN-PCN-Group data, formulary data, market access, or patient-services analytics.
- May require domestic and/or international travel, including overnight stays, up to 5%.
Responsibilities
- Analyze US 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, revised business rules, data-period changes, and product enhancements.
- Investigate complex data and product issues, perform root-cause analysis, assess 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 testing, data validation, regression testing, defect investigation, and user acceptance testing.
- Support feasibility assessments and proof-of-concept initiatives for new healthcare data and analytics capabilities.
- Represent the Product team on active projects and support data delivery for clients subscribed to the product.
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