Senior BI Manager – Pharma Analytics & Dashboards

Tiger Analytics

United States

Remote

USD 140,000 - 230,000

Full time

14 days+

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Job summary

eBSI Export Academy is seeking a senior BI leader to design and implement Power BI dashboards for commercial pharma, translate requirements into scalable BI solutions, and drive migration and automation initiatives across data platforms.

The ideal candidate will have deep pharma analytics experience, strong SQL/R/Python skills, and a track record of engaging executive stakeholders. MBA or Business Analytics degree preferred.

Qualifications

  • 10-16 years in Commercial Pharma analytics or consulting roles.
  • 5-7 years in a BI Manager/Consultant or related role.
  • Strong stakeholder engagement across Commercial, Medical Affairs, and Market Access functions.
  • Strong SQL; hands-on experience with R, Python; Power BI.
  • Experience with pharma data sources (CRM, IQVIA, pharmacy data) and data quality controls.
  • Knowledge of data modelling, dimensional modelling, ETL, governance, and warehousing.
  • MBA or Business Analytics degree or equivalent.

Responsibilities

  • Design and develop Power BI dashboards and reports for commercial pharma (sales, field force, HQ reporting).
  • Translate business requirements into data models, data flows, and scalable BI solutions.
  • Lead/assist in Power BI migration initiatives and reporting automation (Alteryx or similar tools).
  • Ensure data quality, validation, and governance across reporting layers.
  • Collaborate with cross-functional teams; manage Agile delivery and support enhancements, including chatbot/AI integrations.

Skills

Power BI
SQL
R
Python
Stakeholder engagement
Agile delivery
Data governance
Data modeling
ETL

Education

MBA or Business Analytics

Tools

Alteryx

Job description

eBSI Export Academy is seeking a senior BI leader to design and implement Power BI dashboards for commercial pharma, translate requirements into scalable BI solutions, and drive migration and automation initiatives across data platforms.

The ideal candidate will have deep pharma analytics experience, strong SQL/R/Python skills, and a track record of engaging executive stakeholders. MBA or Business Analytics degree preferred.

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