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DATA · Data-Engineering

Data & Analytics Engineer – Commercial Pharma

SRM Technologies

5–8 yrsRemote · USFull TimeListed 1d ago
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Experience 3–6 yrs (5–8 years)

About the role

from listing

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 Originally posted on Himalayas

Data-EngineeringAnalytics-EngineeringPharma-AnalyticsData-ModelingPharma-Data-AnalyticsPharmaceutical-Data-EngineeringPharmaceutical-Data-AnalyticsAnalytics-Engineer
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Opportunity details

Deadline
Closing in 59d · 8 Nov

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