Lead rigorous analysis and visualization of large healthcare and market datasets (RWD, claims, CRM). Structure ambiguous business questions, perform data preparation and validation, apply advanced analytics, and produce executive-ready insights. Own delivery of ad-hoc and recurring analytics, partner with senior team members, and support strategic decision-making with defensible recommendations.
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:
- 2+ years of professional experience in Sales/Field analytics or Health Equity
- Must be well versed with MS Excel, Word and PowerPoint
- Technically:
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
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