Manager, GTMx & Customer Analytics

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.

• 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.

• Cloud Data Warehousing: Snowflake (primary), AWS S3 (secondary)
• Data Science & Analytics: Dataiku DSS, Python (pandas, numpy, scikit‑learn), SQL
• Workflow & Transformation: Apache Airflow, dbt
• Visualization & Reporting: 1. Tableau
  2. Dataiku
• Self‑Service Analytics: Alteryx Designer
• Version Control: Git Hub, Collibra
• Security & Compliance: MFA, Programmatic Access Tokens, GDPR/HIPAA

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.

• 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…