Product Analyst

Job not on LinkedIn

🔥 16 hours ago

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🔍 Product Analyst

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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PRECISIONvalue

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

⚕️ Healthcare Insurance

Consulting • Healthcare • Healthcare Insurance

PRECISIONvalue is a company that specializes in market access and commercialization strategies for life sciences and pharmaceutical industries. They leverage a team of experts, including former payer decision makers, to provide insights across various market channels. Their services include demonstrating the value of life-science innovations, strategic market access, training solutions, and developing key insights for commercialization success. PRECISIONvalue also offers on-demand webinars, white papers, and forums to share exclusive insights with their clients. They focus on ensuring that life-changing medicines are accessible to patients by combining scientific data and empathetic communication strategies to maximize commercial success.

📋 Description

• Represent the Product team on all active projects • Participate in daily application operations and development stand-up meetings • Support data delivery for clients subscribed to the product • Collaborate with teams and stakeholders to develop and deliver high-quality data products • 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 • Report to the Product Owner and collaborate with Product Owners, Product Managers, Data Engineering, Machine Learning, Software Engineering, Engagement, and Account teams

🎯 Requirements

• Bachelor’s degree in engineering (B.E.) or Technology (B. Tech.) required; computer science or related fields preferred • 1 to 3 years of experience in healthcare analytics, product analysis, business analysis, data analysis, or a related role • Strong problem-solving skills, including structuring ambiguous business questions, investigating data discrepancies, performing root-cause analysis, and recommending actionable solutions • Strong hands-on experience with SQL, Power BI, and Microsoft Excel • Hands-on experience analyzing US healthcare data • Exposure to medical, pharmacy claims, and patient-level data, such as McKesson Compile, Symphony PatientSource, Komodo Health, or equivalent sources • Exposure to formulary and market-access data, such as MMIT, DRG Fingertip, or equivalent sources • Ability to read, analyze, and interpret production data, financial reports, and legal documents • Excellent verbal, written, presentation, and interpersonal skills • Ability to work effectively across the organization and give and receive constructive feedback • May require domestic and/or international travel, including overnight stays, up to 5% • Preferred: hands-on experience with Snowflake • Preferred: understanding of medical and pharmacy claims, payer hierarchies, BIN-PCN-Group data, formulary data, market access, or patient-services analytics • Preferred: exposure to longitudinal patient analysis, treatment patterns, patient journeys, or payer-access analytics • Preferred: familiarity with Python, APIs, JSON, or machine-learning output validation • Preferred: experience with Azure DevOps, Jira, or Agile product-development practices • Preferred: working knowledge of US Healthcare / Market Access • Preferred: experience developing in a HIPAA-compliant ecosystem

🏖️ Benefits

• Regular full-time employment • Potential domestic and/or international travel with overnight stays up to 5% • Equal opportunity employment • Reasonable accommodation available during the application process