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SRM Technologies

Data & Analytics Engineer – Commercial Pharma

Posted 4 days ago
Worldwide
5-10 years experience
python sql crm data-engineering
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AI Summary

Design and implement data models and ETL/ELT pipelines to integrate complex commercial pharmaceutical datasets. Develop curated datasets, semantic layers, and standardized KPI logic to support field, brand, and patient analytics.

This is a remote position.

KEY RESPONSIBILITIES
​
• 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.

QUALIFICATIONS & TECHNICAL EXPERTISE

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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