Senior Product Analyst, Pharmacy & Managed Care

MJH Life Sciences • Cranbury, NJ

2d • Hybrid

About The Position

MJH Life Sciences is hiring a Senior Product Analyst to serve as the data partner for its pharmacy and managed care business, including brands reaching pharmacists, managed care decision-makers, and payer audiences. The analyst owns the analytical relationship with these teams, turns business questions into actionable answers, and helps shape data products for pharmaceutical clients focused on access, formularies, and pharmacy audiences.

The role partners with editorial, sales, marketing, client services, Product Scientists, and Engineers. It covers end-to-end audience analysis across sites, newsletters, events, and programs; dashboard, KPI, and measurement-framework development; client-facing campaign reporting and audience insights; and data quality and pipeline work in Snowflake. The analyst also incorporates relevant external healthcare data, writes recommendation memos, follows up on whether insights influenced decisions, uses AI coding and analysis tools, and mentors junior analysts.

The position offers a hybrid work schedule and a stated annual compensation range of $100,000–$120,000, depending on qualifications. The selected candidate may also be eligible for an annual company bonus program or commission incentive based on role.

Requirements

• Bachelor’s degree in a quantitative field such as Data Science, Statistics, Economics, Mathematics, or Computer Science, or in a health-related field such as Pharmacy, Public Health, or Health Economics.
• 4–6 years of experience in data analysis or business intelligence.
• At least 2 years of experience touching pharmacy, managed care, payer, PBM, market access, or life sciences commercial data.
• Advanced SQL skills.
• Strong BI and data visualization skills using Tableau, Power BI, Looker, or a similar tool.
• Python or R skills for analysis.
• Working knowledge of healthcare reference and market data, including NPI, NCPDP, formulary/coverage data, and claims or prescribing data.
• Clear, direct writing, including the ability to explain findings to a non-technical executive in a paragraph.
• Strong organizational skills and ability to manage multiple stakeholder relationships.
• Understanding of how drugs get from approval to patients, including formularies, PBMs, P&T committees, prior authorization, specialty pharmacy, and the roles of pharmacists and payers.
• Ability to adapt communication for different stakeholders, take ownership of work, close loops, and provide clear recommendations.
• Ability to use AI tools productively and critically review their output.

Nice To Haves

• Master’s degree or PharmD.
• Snowflake experience.
• Experience at a medical publisher, healthcare agency, pharmaceutical commercial or market access team, PBM, or health plan.
• Familiarity with digital audience analytics such as Segment or Google Analytics and campaign measurement.
• Daily use of AI coding and analysis tools such as Claude Code, Cursor, or Windsurf.

Responsibilities

• Serve as the dedicated analytics lead for pharmacy and managed care brands, partnering with editorial, sales, marketing, and client services leaders.
• Translate business questions into clear analyses, clarify ambiguous questions, and help stakeholders identify the right questions.
• Own analysis of pharmacy and managed care audiences, including who they are, how they engage, and how engagement changes across sites, newsletters, events, and programs.
• Build and maintain dashboards, KPIs, and measurement frameworks, and retire unused dashboards or measures.
• Support client-facing work through campaign performance reporting, audience profiles, and insights about the pharmacy and managed care landscape.
• Collaborate with Product Scientists and Engineers on data quality, audience definitions, and Snowflake pipelines.
• Identify and resolve data problems before they reach stakeholders.
• Incorporate relevant external data, such as formulary and coverage data, NPI/NCPDP reference data, and prescribing data, while understanding its limitations.
• Write concise recommendation memos that explain what data means and what actions to take.
• Follow up after delivering analysis to determine whether it changed a decision and investigate when it did not.
• Use Claude Code and an AI-integrated IDE daily to write queries, explore data, and work faster, while critically reviewing AI output.
• Mentor junior analysts and help lead AI Accelerator workshops or office hours.

Benefits

• Hybrid work schedule.
• Medical and dental insurance through Cigna.
• Vision coverage through VSP.
• Pharmacy benefits through OptumRx.
• Flexible Spending Account (FSA), Health Savings Account (HSA), Dependent Care FSA, and Limited Purpose FSA options.
• 401(k) and Roth 401(k) with company match.
• Pet discount program with PetAssure.
• Norton LifeLock identity theft protection.
• Employee Assistance Program (EAP) through NYLGBS.
• Fertility benefits through Progyny.
• Commuter benefits.
• Company-paid short-term and long-term disability.
• Voluntary Term Life and AD&D Insurance, plus Universal Life Insurance options.
• Supplemental Aflac coverage for accident, critical illness, and hospital indemnity.
• Discounts and rewards through BenefitHub.
• Eligible for an annual company bonus program or commission incentive based on role.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior