Senior Market Access Specialist, Data and Analytics

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🔥 3 hours ago

🐊 Florida, Illinois, +2 more states – Remote

🐊 Florida – Remote 🌽 Illinois – Remote 🏖️ New Jersey – Remote 🤠 Texas – Remote

💵 $125k - $160k / year

⏰ Full Time

🟠 Senior

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Nestle

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🍽️ Food & Beverage

🏭 Manufacturing

📦 Logistics

Food & Beverage • Manufacturing • Logistics

Nestle is a Swiss multinational food and beverage company that produces and markets a wide range of packaged foods and beverages, including coffee, bottled water, dairy products, infant nutrition, confectionery, frozen foods, and pet care brands. The company sells its products globally through retail and foodservice channels, operates extensive manufacturing and supply-chain operations, and focuses on nutrition, health, and wellness initiatives.

📋 Description

• Design, build, and maintain SQL-based data models and Power BI dashboards integrating payer claims, EDI 852/867, copay, PAP, and specialty pharmacy data • Develop automated, production-grade reporting solutions replacing manual spreadsheets • Build self-service analytics products for Market Access leaders, payer account managers, trade managers, and field sales teams • Apply data engineering practices including validation, version control, and documentation • Embed AI and Generative AI capabilities into dashboards and analytics solutions • Prototype and operationalize machine learning models for abandonment risk, persistence prediction, and gross-to-net forecasting • Analyze payer claims data for coverage trends, prior authorization and step-edit impact, prescription abandonment, and net price dynamics • Analyze wholesaler inventory and sales-out data for channel trends, demand signals, and inventory health • Translate patient services data into insights for patient experience improvement • Partner with Payer Strategy, Trade, Patient Services, Field Sales, Finance, Government Pricing, IT, Master Data, vendors, and external partners • Define KPIs and identify coverage shifts, channel disruptions, and patient access risks • Build prescription journey analytics covering referral, BV/PA, copay adjudication, first fill, refill, persistence, and discontinuation • Identify patient journey drop-off points and intervention opportunities • Develop insights for copay programs, PAP eligibility, and EMR/e-coupon optimization • Monitor gross-to-net drivers and surface variance early • Support demand forecasting, contract performance tracking, and pull-through measurement • Use AI-powered forecasting and scenario modeling for gross-to-net assumptions and financial planning • Establish standardized business rules, definitions, and reporting logic • Resolve data quality issues and improve data freshness and completeness • Maintain trusted, audit-ready datasets for executive reporting • Champion responsible AI, data privacy, model transparency, HIPAA, and pharmaceutical regulatory compliance

🎯 Requirements

• BS / BA required in Data Science, Computer Science, Information Technology, Statistics, Applied Math, Economics, Information Systems, Business Administration, or related field; equivalent working experience acceptable • 5+ years of progressive experience in data analytics, business intelligence, or data engineering • Preferably experience in pharmaceutical, life sciences, or healthcare environments • Hands-on experience with payer claims, wholesaler EDI 852/867, specialty pharmacy data feeds, copay/PAP transactional data, and equivalent sales-out data • Experience designing and delivering production-grade Power BI dashboards and SQL-based data models • Experience applying AI, machine learning, and/or Generative AI tools such as Microsoft Copilot, Azure OpenAI, ChatGPT Enterprise, or Python ML libraries • Strong understanding of gross-to-net, payer coverage, formulary dynamics, prior authorization, prescription abandonment, and specialty distribution • Must be eligible to work without visa sponsorship

🏖️ Benefits

• Performance-based incentives • 401(k) with company match • Healthcare coverage • Broad range of other benefits • Dynamic career paths • Robust development opportunities • Opportunities to learn from talented colleagues around the globe • Benefits supporting physical, financial, and emotional wellbeing