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Data & Analytics Engineer – Commercial Pharma

Skills

analyticsautomationcrmdata engineeringdata modelingdata qualitydatabricksdbteltetlpythonsalesforcesnowflakesqlveevaPythonSalesforceSQL

Description

QUALIFICATIONS & TECHNICAL EXPERTISE

  • Design data models across field, brand, patient, access and omnichannel
  • Integrate Rx/sales, claims, specialty pharmacy, hub, CRM and digital data
  • Develop ETL/ELT pipelines and reusable curated datasets.
  • Resolve HCP, product, payer, geography and territory mapping
  • Implement data quality and source-to-target validation checks
  • Create marts, semantic layers and standardized KPI logic.

Commercial Pharma Experience

  • 5 to 8+ years in analytics or data engineering
  • 3+ years with pharma or biotech commercial data preferred
  • Sales and field effectiveness
  • Patient and market access analytics

Data Modeling Expertise

  • Fact and dimension design
  • Star and conformed dimensions
  • Analytical marts and semantic layers
  • HCP/HCO affiliation and NPI matching

Engineering & Platforms

  • Advanced SQL on large commercial datasets
  • Python for processing, validation and automation
  • Strong ETL/ELT development; dbt or similar
  • Snowflake, Databricks or comparable platforms

Commercial Data Expertise

  • IQVIA Xponent and PlanTrak Rx
  • Specialty pharmacy and patient hub feeds
  • CRM (Veeva/Salesforce) activity

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