Senior Product Analyst, Pharmacy & Managed Care

At MJH Life Sciences our success is measured by your success! If you set your standards high and want to contribute to a winning team, we’ll provide you with every opportunity to help grow our company and your career. Our associates come from all backgrounds, sharing one key quality: determination to succeed. We value being Service Focused, having a Passion for Winning, Innovation, Respect, Integrity, and Teamwork.

Nothing means more to us than hiring people with these attributes. If you believe you’re right for the job, this is the place to prove it!

MJH reaches pharmacists, managed care decision-makers, and payer audiences through brands like Pharmacy Times and The American Journal of Managed Care (AJMC). We’re hiring a Senior Product Analyst to be the data partner for that part of the business. You’ll own the analytical relationship with our pharmacy and managed care teams, turn their questions into answers they can act on, and help shape the data products we bring to pharma clients who care about access, formulary, and pharmacy audiences.

• Serve as the dedicated analytics lead for our pharmacy and managed care brands, working directly with editorial, sales, marketing, and client services leaders.
• Translate business questions into clear analyses.
• Push back when a question is fuzzy, and help stakeholders ask the right one.
• Own the analytics for pharmacy and managed care audiences end to end: who they are, how they engage, and how that changes over time across our sites, newsletters, events, and programs.
• Build and maintain dashboards, KPIs, and measurement frameworks for the domain, and retire the ones nobody uses.
• Support client-facing work: campaign performance reporting, audience profiles, and insights that help pharma and payer-focused clients understand the pharmacy and managed care landscape.
• Work with our Product Scientists and Engineers on data quality, audience definitions, and pipelines in Snowflake.
• Find and fix data problems before they reach a stakeholder.
• Bring outside data into the picture where it matters, such as formulary and coverage data, NPI/NCPDP reference data, and prescribing data, and know its limits.
• Write short recommendation memos, not just charts.
• Say what the data means and what we should do about it.
• Follow up after you deliver. Did it change a decision? If not, find out why.
• Use AI tools (Claude Code and an AI-integrated IDE) every day to write queries, explore data, and ship faster, and review that output with a critical eye.
• Mentor junior analysts and help lead AI Accelerator workshops or office hours.

• You understand how drugs get from approval to patient: formularies, PBMs, P&T committees, prior authorization, specialty pharmacy, and the role pharmacists and payers play along the way.
• You’re comfortable in a room with a sales lead one hour and an editor the next, and you adjust the story for each.
• You own your work. Nobody has to chase you for status, and you close loops without being asked.
• You’d rather send one clear recommendation than ten dashboards.
• You already use AI to do more with less, and you like showing other people how.

• Be the go-to data voice for a high-value slice of our business.
• Work with a modern stack (Snowflake, AI-first tooling) and a team that expects you to shape what we build, not just build what’s asked.
• Clear growth path within the Product Analyst family and into Product Scientist or cross-functional roles.

• Bachelor’s degree in a quantitative field (Data Science, Statistics, Economics, Mathematics, Computer Science) or a health-related field such as Pharmacy, Public Health, or Health Economics.
• Master’s or PharmD is a plus.
• 4-6 years in data analysis or business…