About this 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:
• 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