Business Analyst for Data - with Pharma Knowledge

Theoris•Indianapolis, IN

1d•Hybrid

About The Position

We are seeking a Senior Business Analyst with pharmaceutical industry experience to support a large-scale Data and AI Readiness initiative. The ideal candidate will bridge business stakeholders, data teams, and AI-focused resources to ensure enterprise data products are properly documented, governed, and prepared for advanced analytics and AI solutions. This role is highly focused on data discovery, metadata documentation, stakeholder engagement, business requirements gathering, and translating complex business questions into structured data requirements.

Requirements

5+ years of Business Analyst, Business Systems Analyst, or Data Business Analyst experience
Experience working within pharmaceutical, biotechnology, clinical research, healthcare, or life sciences organizations
Strong requirements gathering and stakeholder management experience
Experience supporting data, reporting, analytics, or enterprise data initiatives
Proven ability to translate business needs into functional and technical requirements
Experience documenting business processes, workflows, and data requirements
Strong communication and facilitation skills
Experience working within Agile environments

Nice To Haves

Clinical Development, Clinical Trials, Regulatory Affairs, Medical Affairs, or Pharmacovigilance experience
Knowledge of pharmaceutical data domains and processes
Experience with metadata management, data governance, and data quality initiatives
Familiarity with AI, Generative AI, LLM, or data readiness projects
Experience with SQL and data analysis
Understanding of cloud-based data platforms and lakehouse environments
Knowledge of CDISC, SDTM, MedDRA, GxP, or regulated healthcare data environments

Responsibilities

Partner with business stakeholders to understand reporting, analytics, and AI use cases
Facilitate workshops and discovery sessions to gather business context around data assets
Elicit, document, and validate business requirements
Translate business questions into structured, testable data requirements
Create and maintain inventories mapping datasets to business needs and use cases
Document data definitions, business rules, metadata, lineage, and data ownership
Collaborate with Data Engineers, Architects, and AI teams to improve data readiness
Identify gaps in data quality, metadata, documentation, and governance
Support development of ground-truth datasets used for AI evaluation and validation
Assist with documenting known data limitations, edge cases, and risk areas
Create process flows, business requirements documents, data mapping documentation, and stakeholder presentations
Work closely with data stewards and subject matter experts to ensure data accuracy and completeness
Support governance initiatives and enterprise data standards