Product Analyst
New
P
Precision Medicine GroupHealthcare analytics
Remote, IndiaFull-TimeJunior
Salary not disclosed
Apply NowOpens the employer's application page
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 BISnowflakeJiraMicrosoft ExcelRESTful APIsAzure DevOps
Requirements
- Bachelor’s degree in engineering (B.E.) or technology (B. Tech.); a degree in computer science or a related field is preferred.
- 1 to 3 years of experience in healthcare analytics, product analysis, business analysis, data analysis, or a related role.
- Strong hands-on experience with SQL, Power BI, and Microsoft Excel.
- Hands-on experience analyzing US healthcare data.
- Experience with medical, pharmacy claims, and patient-level data, such as McKesson Compile, Symphony PatientSource, Komodo Health, or equivalent sources.
- Experience with formulary and market-access data, such as MMIT, DRG Fingertip, or equivalent sources.
- Strong problem-solving skills, including investigating data discrepancies, performing root-cause analysis, and recommending actionable solutions.
- May require domestic and/or international travel, including overnight stays, up to 5%.
Responsibilities
- Analyze large 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 claims, 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 product documentation, including 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.
View Full Description & ApplyYou'll be redirected to the employer's site
