Manager, GTMx & Customer Analytics - US Hospital

Pfizer • Tampa, FL

2d • Hybrid

About The Position

Role Summary The Manager, GTMx & Customer Analytics delivers hands-on analytics to inform go-to-market (GTMx) decisions across the US Hospital business. This individual will pull, engineer, and operationalize data from enterprise warehouses, build reproducible analytics workflows in Python/SQL, and partner closely with marketing, sales, and customer-facing strategy teams to measure GTMx impact, maintain scorecards/trackers, and deliver actionable insights. In addition, the manager will perform ad-hoc analyses to address emerging business questions and support strategic initiatives as needed. The role is a key member of the hospital analytics team.

Requirements

• BA/BS in a quantitative field (e.g., Statistics, Data Science, Economics, Computer Science)
• 4+ years in commercial analytics, data science, or sales/marketing analytics (pharma/biotech/med-tech preferred) with demonstrated hands-on data engineering and modeling experience
• Strong Python (pandas, numpy, scikit-learn, Snowflake Python Connector), SQL (analytic functions, optimization), and data-pipeline skills (ETL/ELT); proficiency building production-grade notebooks/jobs
• Fluency with BI/visualization tools (Power BI/Tableau) and Excel; ability to produce executive-level insights and presentations
• Effective communication and stakeholder management; ability to translate complex findings into clear recommendations

Nice To Haves

• Prior experience in Hospital / Generic Injectables analytics or US hospital customer datasets preferred, but not required
• Familiarity with cloud data warehouses (e.g., Snowflake/Redshift/Synapse), workflow orchestration (Airflow/Azure Data Factory), and Git-based development
• Experience deploying ML workflows for segmentation/propensity and integrating outputs into sales/marketing systems
• Knowledge of contracting/pricing data structures and customer hierarchies common to hospital and IDN accounts
• Comfort operating in a matrix environment and collaborating with third-party analytics vendors
• Candidates should demonstrate hands-on experience with Snowflake, Dataiku DSS, Python, and Power BI, and be comfortable working in a hybrid cloud/data environment.
• Familiarity with workflow orchestration (Airflow), data modeling (dbt), and BI tools (Tableau, Alteryx) is preferred.
• Experience with Pfizer’s analytics platforms or similar enterprise environments is a plus.

Responsibilities

• Data Acquisition, Engineering, and Operationalization Build and maintain data pipelines: ingest, cleanse, join, and model datasets from enterprise data warehouses (e.g., commercial, customer, contracting, omnichannel, call activity) to create analysis-ready tables/views for GTMx use cases. Develop reproducible Python/SQL notebooks & jobs (version-controlled) for team use; implement data quality checks. Support creation of feature stores / curated datasets for predictive models and scorecards aligned to hospital KPIs.
• GTMx Analytics & Measurement Translate GTMx hypotheses into measurable constructs; assist in designing A/B tests, KPI frameworks, and analyses to quantify customer impact. Build and maintain scorecards, trackers, and dashboards (e.g., Power BI) for GTMx performance at account/segment levels; automate refresh and alerts. Collaborate with Customer-Facing Strategy & Deployment to support definitions, targets, and thresholds for GTMx KPIs.
• Targeting, Segmentation, and Predictive Analytics Develop customer segmentation using statistical and ML techniques (e.g., clustering, uplift modeling) to improve targeting and next-best-action. Run predictive analytics (propensity, churn risk, demand forecasting) that inform GTMx tactics and portfolio pull-through. Test and evaluate new customer data assets prior to operational rollout; document performance and integration recommendations.
• Insight Delivery & Cross-Functional Partnership Convert analyses into clear, decision-oriented narratives for sales, marketing, and leadership (written memos and PowerPoint visualizations). Collaborate with portfolio marketing, sales operations, and account teams to operationalize insights (playbooks, targeting lists, cadence, enablement materials). Support launch readiness and in-market optimization for priority brands through analytics sprints and KPI tracking.
• Ways of Working & Excellence Uphold analytics craftsmanship: code reviews, documentation, reproducibility, and governance. Adhere to data privacy and compliance standards when handling customer and commercial data; ensure secure access patterns and approved sharing.

Benefits

• participation in Pfizer’s Global Performance Plan with a bonus target of 12.5% of the base salary and eligibility to participate in our share based long term incentive program
• comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments
• Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees