Senior Market Access Specialist, Data and Analytics

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Market Access Specialist, Data and Analytics based in United States.

This is a high-impact analytics role at the intersection of market access, healthcare data, AI, and commercial strategy. You will build end-to-end data solutions that turn complex pharmaceutical datasets into actionable business insights. The role combines hands-on SQL, Power BI, AI/Generative AI, predictive modeling, and data storytelling. You will work across Market Access, Payer Strategy, Patient Services, Trade, Sales Operations, Finance, IT, and external data partners. Your analysis will help improve patient access, support revenue growth, and protect gross-to-net performance. You will also help advance responsible, scalable, and AI-enabled decision-making across the organization.

Accountabilities:: Design, build, and maintain production-grade SQL data models and Power BI dashboards integrating payer claims, wholesaler EDI 852/867, copay, PAP, and specialty pharmacy datasets.

Develop automated reporting and self-service analytics solutions that replace manual processes, improve data accessibility, and accelerate decision-making for business and field teams.

Embed AI and Generative AI capabilities, including conversational analytics, natural-language querying, anomaly detection, and pattern recognition, into analytics solutions.

Prototype and operationalize machine learning models for use cases such as prescription abandonment, patient persistence, gross-to-net forecasting, and demand prediction.

Analyze payer, patient services, wholesaler, and specialty pharmacy data to identify coverage trends, prior authorization impacts, channel dynamics, inventory signals, patient friction, and access risks.

Build patient journey analytics covering referral, benefits verification, prior authorization, copay adjudication, first fill, refills, persistence, and discontinuation to identify intervention opportunities.

Develop analytics for gross-to-net drivers, including rebates, copay spending, patient assistance costs, returns, and chargebacks, while supporting forecasting and scenario modeling.

Partner with Market Access, Payer Strategy, Trade, Patient Services, Sales Operations, Finance, IT, Data Science, and external vendors to translate business questions into scalable technical solutions.

Establish standardized data definitions, business rules, KPIs, and reporting logic while maintaining reliable, audit-ready datasets.

Identify and resolve data quality, completeness, and freshness issues in collaboration with technology, master data, and external data partners.

Champion responsible AI practices, including data privacy, model transparency, appropriate governance, and compliance with HIPAA and applicable pharmaceutical regulations.

Requirements:

Bachelor’s degree in Data Science, Computer Science, Information Technology, Statistics, Applied Mathematics, Economics, Information Systems, Business Administration, or a related discipline; a master’s degree is preferred, with equivalent relevant experience also considered.

5+ years of progressive experience in data analytics, business intelligence, or data engineering, preferably within pharmaceutical, life sciences, healthcare, or a related environment.

Hands-on experience working with pharmaceutical data assets, including payer claims, wholesaler EDI 852/867, specialty pharmacy feeds, copay/PAP transactional data, and sales-out datasets.

Proven experience developing production-grade Power BI dashboards and SQL-based data models, with strong data engineering practices around validation, documentation, version control, scalability, and reliability.

Practical experience applying AI, machine learning, and/or Generative AI tools such as Microsoft Copilot, Azure OpenAI, ChatGPT Enterprise, or Python-based ML libraries to business problems.

Strong understanding of Market Access concepts, including gross-to-net, payer coverage, formulary dynamics, prior authorization, prescription abandonment, specialty distribution, and patient access.

Strong analytical and problem-solving abilities, with the capacity to translate complex datasets into clear recommendations and compelling business narratives.

Ability to collaborate effectively with technical and nontechnical stakeholders and translate business requirements into practical data and AI solutions.

Strong understanding of data governance, privacy, compliance, and responsible AI principles within regulated healthcare or pharmaceutical environments.

Benefits:

Approximate annual salary range of $125,000–$160,000 , with final compensation based on factors including knowledge, skills, abilities, and geographic location.

Performance-based incentive opportunities.

Competitive total rewards package designed to support employees’ health, financial security, and overall well-being.

401(k) plan with company match.

Healthcare coverage and a broad range of additional employee benefits.

Inclusive workplace committed to supporting diverse perspectives, veterans, separated service members, and individuals with disabilities.

Opportunities to work on data, AI, and analytics initiatives with meaningful impact on healthcare, patient access, and commercial decision-making.

This position is not eligible for visa sponsorship .

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1