Senior Manager, Value & Access Trade Analytics (R Python and SQL)
Role details
Job location
Tech stack
Job description
Inviting applications for the role of Senior Manager Value & Access Trade Analytics (R Python and SQL) We are seeking a seasoned Senior Manager Experience in pharmaceutical and life sciences analytics with proven expertise in Market Access Pharma contracting Rebate Trade Channel distribution modelling Sales data Inventory/ordering data Chargebacks Payor accounting etc. This leadership role demands a balance of strategic vision deep technical acumen and cross-functional influence. The ideal candidate will drive advanced analytics initiatives that support marketing commercial excellence strategies while leading global delivery teams and shaping stakeholder alignment across business units. Responsibilities: - Lead strategic analytics initiatives across pharmaceutical Value&Access and healthcare payer/provider domains. - Apply machine learning techniques to structured and unstructured data to enhance patient stratification drive Sales and health outcomes. - Develop analytical and statistical solutions to improve efficiency and drive innovations using Generative AI - Lead the development of U.S. - market access strategies across therapeutic areas including formulary positioning pricing and reimbursement. - Partner with global teams to align value messaging with regional payer and RAE/KAM expectations. - Conduct and interpret advanced analytics to support decision-making on promotional strategies and effectiveness (e.g. - ROI A/B testing campaign performance). - Lead the Health System engagement by generating valuable insights for RAE/KAM teams - Able to handle complex statistical analysis to measure the effectiveness of certain campaigns and help in monitoring VC Os/KAM/NAD/NAM performance - Data Analysis: Leverage data analytics tools to analyze market trends track sales performance and provide actionable insights to sales teams. - Design and execute test-control methodologies and statistical procedures to evaluate marketing campaign success. - Lead predictive analytics projects including segmentation profiling and targeting strategies. - Functionally and directionally lead an offshore analytics team while maintaining individual contributor responsibilities. - Act as a strategic consultant to stakeholders translating business needs into analytical solutions and actionable insights. - Collaborate with data engineering and source data teams to address data quality and timing issues.
Requirements
Do you have experience in Senior leadership?, Do you have a Master's degree?, Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
Certifications Certified Data Management Professional - RiversandRiversand, Certified Ethical Hacker (CEH) - Hacker SchoolHacker School, Certified Information Privacy Manager (CIPM) - International Association of Privacy Professionals (IAPP)International Association of Privacy Professionals (IAPP), Certified Information Privacy Professional, U.S. private-sector (CIPP/US) - International Association of Administrative Professionals (IAAP)International Association of Administrative Professionals (IAAP), IBM Certified Solution Developer - WebSphere IIS DataStage Enterprise Edition v7.5 - IBMIBM
Required Skills Actuarial Services, Agile Methodology, AML Investigations, Change Management, Client Relations, Collaboration Tools, Customer Onboarding, Data Analytics, Data Architecture, Data Consulting, Data Governance, Design Thinking, Executive Presence, Inclusion, Know Your Customer (KYC), Modernizing Operations, People Leadership, Personal Effectiveness, Risk Management, Storytelling
Language English
Language Proficiency - Intermediate - B1
Benefits & conditions
3.83.8 out of 5 stars New York, NY 10175 $80,000 - $100,000 a year - Full-time