About the role

We're committed to bringing passion and customer focus to the business.

Roles & Responsibilities:

Drive high-impact insights through rigorous analysis and visualization of large, complex, and multi-source datasets
Lead the structuring of ambiguous business questions into clear, hypothesis-driven analytical problems, defining business rules, process flows, and end-to-end methodologies
Apply advanced statistical and analytical techniques to test hypotheses, quantify impact, and support strategic decision-making
Own data preparation and analytical rigor, including data wrangling, quality assurance, triangulation across sources, and validation of results
Take full accountability for delivery of ad-hoc and recurring analytical workstreams, managing timelines, dependencies, and quality independently
Synthesize complex analyses into sharp, insight-led narratives and executive-ready deliverables with clear implications and recommendations
Act as a thought partner to senior team members during client engagements by developing analyses, exhibits, and defensible storylines that influence client decisions

Requirements:

Must - Strong hands-on experience with SQL and Pyspark

Good to have – Python, Dataiku, any visualization tool (Tableau, Qlik) etc.

Domain:
- Patient-level data analytics using real-world data (RWD) sources, including IQVIA APLD, IQVIA LAAD, Symphony Claims or Komodo Health Claims

Market and sales analytics using IQVIA/IMS datasets, including MIDAS and U.S. EDI sales feeds (e.g., 867/852), to assess market size, growth, and competitive dynamics

HCP engagement and interaction analytics using CRM activity data, such as Veeva interactions, to assess field force activity, reach, and engagement effectiveness

Health Equity or Socioeconomic (SES) driven analysis using U.S. Census and demographic datasets, integrated with patient- and market-level data to understand population characteristics and disparities

Senior Business Analyst