Description review
Data & Analytics Engineer – Commercial Pharma
SRM Technologies · United States · back to the listing
HR standards
59/100
needs work
Title ↔ description
86/100
strong
Reads as
Data Engineer
100% confident
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What the listing never says
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
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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 EXPERTISECommercial 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
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 EXPERTISECommercial 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