Data & Analytics Engineer – Commercial Pharma

NEPSE Trading; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

NEPSE Trading is seeking a remote Analytics/Data Engineer for a US-based role. You will design data models across field, brand, patient, access and omnichannel, and integrate Rx/sales data with CRM and digital feeds to enable insights.

The ideal candidate has 5–8+ years in analytics or data engineering, pharma commercial data experience, and strong SQL, Python and platforms like Snowflake or Databricks. This is a remote, national opportunity.

Qualifications

• 5 to 8+ years in analytics or data engineering
• Experience with pharma commercialization data is required
• Experience with sales, field effectiveness, and patient analytics is preferred

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 curated datasets with validation checks
• Create marts and semantic layers with KPI logic for analytics
• Ensure data quality and reliable source-to-target mappings

Skills

Commercial Pharma Analytics

Analytics

Data Engineering

Sales & Field Effectiveness

Patient & Market Access Analytics

Tools

SQL

Python

dbt

Snowflake

Databricks

Job description

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