Senior Product Analyst, Pharmacy & Managed Care
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 that reach pharmacists, managed care decision-makers, and payer audiences. The analyst will own the analytical relationship with these teams, turn business questions into actionable findings, and help shape data products for pharmaceutical clients focused on access, formulary, and pharmacy audiences. The role is expected to proactively identify what stakeholders need to know, rather than simply respond to requests. The analyst will lead analytics for pharmacy and managed care audiences across the company’s sites, newsletters, events, and programs. This includes developing and maintaining dashboards, KPIs, and measurement frameworks; supporting client-facing campaign reporting and audience insights; and collaborating with Product Scientists and Engineers on data quality, audience definitions, and Snowflake pipelines. The position also involves incorporating relevant external data, writing recommendation memos, following up on whether insights affected decisions, using AI tools in daily analytical work, and mentoring junior analysts.
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.
- Four to six years of experience in data analysis or business intelligence.
- At least two years of experience involving pharmacy, managed care, payer, PBM, market access, or life sciences commercial data.
- A track record of analyses that changed a business decision.
- Advanced SQL skills.
- Strong BI and data visualization skills using Tableau, Power BI, Looker, or similar tools.
- 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 such as IQVIA, Symphony, or MMIT.
- Clear, direct writing and the ability to explain findings to non-technical executives in a paragraph.
- Strong organizational skills and ability to manage multiple stakeholder relationships.
- Understanding of how drugs get from approval to patient, including formularies, PBMs, P&T committees, prior authorization, specialty pharmacy, and the roles of pharmacists and payers.
- Ability to adapt communication to different stakeholders, including sales leaders and editors.
- Ability to own work, manage status independently, and close follow-up loops.
- Interest in making clear recommendations and using AI to work efficiently and help others do the same.
Nice To Haves
- Master’s degree or PharmD.
- Snowflake experience.
- Experience at a medical publisher, healthcare agency, pharma commercial or market access team, PBM, or health plan.
- Familiarity with digital audience analytics tools such as Segment or Google Analytics and with 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 frame the right questions.
- Own end-to-end analytics for pharmacy and managed care audiences, including audience characteristics, engagement, and changes across sites, newsletters, events, and programs.
- Build and maintain domain dashboards, KPIs, and measurement frameworks, and retire unused ones.
- Support client-facing work through campaign performance reporting, audience profiles, and insights for pharma and payer-focused clients.
- Collaborate with Product Scientists and Engineers on data quality, audience definitions, and Snowflake pipelines, identifying and fixing data problems before they reach stakeholders.
- Incorporate relevant external data, including formulary and coverage data, NPI/NCPDP reference data, and prescribing data, while understanding its limitations.
- Write concise recommendation memos explaining what data means and what actions should be taken.
- Follow up after delivering analyses to determine whether they changed decisions and investigate when they did not.
- Use Claude Code and an AI-integrated IDE daily to write queries, explore data, and deliver work faster, critically reviewing generated 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.
- FSA, HSA, Dependent Care FSA, and Limited Purpose FSA options.
- 401(k) and Roth 401(k) with company match.
- Pet discount program through PetAssure.
- Norton LifeLock identity theft protection.
- Employee Assistance Program 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.
- Annual company bonus program or commission incentive based on role.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
