Lead Analytics Consultant, RWD Insights (Commercial Pharma)

How you will help

As a Lead Healthcare Data Analyst, Commercial, you will combine deep commercial pharmaceutical expertise with advanced technical skills to deliver impactful analytics across the contract and project lifecycle. You will translate client business questions into data-driven solutions, leveraging the largest healthcare data ecosystem in the US. Your colleagues and clients will rely on your mastery of core commercial analytics use cases — including targeting and segmentation and patient journey analysis — as well as your ability to design, build, and optimize reusable tools and reporting that scale across opportunities. This role requires both strategic guidance and hands-on execution, ensuring that commercial teams get maximum value from their data in both presale and postsale engagements. The role will focus primarily on supporting commercial analytics and reporting use cases, and deep knowledge of the needs of a commercial analytics function at pharma will be critical to success.

What you will do

• Independently design and scope commercial pharma analytics use cases (e.g., trigger programs, deciling, forecasting, market share reporting, provider targeting, source-of-business/switching rules, salesforce effectiveness operations), recommending the best-fit data approach for each opportunity.
• Independently scope and run presale feasibility assessments to size opportunities, validate methodologies, and provide clear recommendations to Sales team and prospective clients.
• Build reusable, client-ready assets — such as tools, reports, and dashboards — that support repeatable delivery and enhance postsale client satisfaction.
• Leverage diverse healthcare data sources — including medical/pharmacy claims (closed and open), EMR, lab, chargemaster, and SDOH — to structure datasets that meet commercial needs.
• Provide strategic guidance to help clients maximize the value of available data, ensure commercial analytics are aligned with business goals, and position HealthVerity’s data strengths against alternative market offerings.
• Educate clients in postsale by delivering training sessions and walkthroughs of tools, reports, and datasets to ensure effective adoption and use.
• Document market definitions, cohort logic, and business rules to ensure consistency, scalability, and clarity for downstream teams.
• Collaborate and communicate effectively with Sales, Delivery, and client stakeholders, translating complex data concepts into actionable guidance.
• Identify and address data gaps or limitations early, proposing practical, scalable solutions that maintain high client value.

How success will be defined 

• Builds trust and credibility as a subject matter expert in commercial pharma analytics, positioning HealthVerity competitively in the market.
• Partners with Sales leadership to shape opportunities from presale feasibility through postsale delivery.
  Delivers high-quality outputs — including client-facing feasibility assessments and internal reusable tools, templates, and reporting — on time and to scope.
• Provides training and guidance that enable clients to adopt and maximize the value of HealthVerity data.

Required skills and experience

• Deep expertise in commercial pharma analytics and the healthcare data landscape, including open/closed medical and pharmacy claims and codified data standards (ICD, CPT, HCPCS, LOINC, etc.).
• Proven ability to evaluate fit-for-purpose data for commercial use cases and translate client needs into actionable data solutions.
• Minimum 5 years’ experience working with large-scale, patient- and provider-level healthcare data in relational databases.
• Advanced proficiency in SQL (beginner to intermediate in Python a plus).
• Experience building standardized reporting, dashboards, or tools for patient and provider analytics (intermediate to advanced level in relevant tools).
• 3+ years in a consultative, client-facing role, engaging both executive/business and technical audiences.
• Strong communication, collaboration, and organizational skills with a track record of delivering on scope, quality, and timelines in a fast-paced environment.

Desired skills and experience

• Experience with additional healthcare data types (e.g., EMR, lab, chargemaster, SDOH, consumer, genetic testing).
• Exposure to multiple healthcare industry segments (e.g., pharma, biotech, consulting).
  Skilled at educating and presenting analytical concepts to diverse audiences.
• Experience supporting business development activities or proposal (RFI/RFP) development and defense.
• Demonstrated ability to own and manage end-to-en