Product Analyst

Accountabilities:

• Represent the Product team across active projects and participate in daily application operations and development stand-ups.
• Support data delivery for clients using the products 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 opportunities for product improvement.
• 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, updated 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 across relevant patient, claim, payer, and plan dimensions.
• 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, regression, and user acceptance testing, as well as data validation and defect investigation.
• Contribute to feasibility assessments and proof-of-concept initiatives for new healthcare data and analytics capabilities.

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.
• Strong problem-solving skills, including the ability to structure ambiguous business questions, investigate discrepancies, perform root-cause analysis, and develop actionable recommendations.
• Strong hands-on experience with SQL, Power BI, and Microsoft Excel.
• Practical experience analyzing U.S. healthcare data, including exposure to medical or pharmacy claims, patient-level data, formulary data, market-access data, or equivalent healthcare datasets.
• Familiarity with healthcare data sources such as claims, payer, formulary, and patient datasets is highly relevant.
• 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 working within a HIPAA-compliant environment is beneficial.
• Strong written, verbal, and presentation skills, with the ability to communicate analytical findings clearly and concisely.
• Strong collaboration and teamwork skills, including the ability to work across functions, give and receive constructive feedback, and support the productionization of processes.
• Strategic and analytical thinking, with the ability to connect detailed analysis to broader project and business objectives.
• Solutions-oriented, resourceful, and resilient approach to navigating ambiguity, obstacles, and changing priorities.
• Willingness to travel domestically and/or internationally, including occasional overnight travel of up to 5%.

Benefits:

• Fully remote work arrangement in India.
• Opportunity to work on healthcare data products and analytics supporting U.S. healthcare markets.
• Cross-functional collaboration with Product, Data Engineering, Machine Learning, Software Engineering, Engagement, and Account teams.
• Exposure to large-scale healthcare datasets, advanced analytics, machine learning, and data-driven product development.
• Opportunity to contribute to product validation, new analytics capabilities, and proof-of-concept initiatives.
• Collaborative environment focused on continuous improvement, problem-solving, and data-driven decision-making.
• Professional exposure to U.S. healthcare, market access, and healthcare analytics practices.