The Role
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.
Summary Generated by Built In
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
Skills Required
- 2+ years professional experience in Sales/Field analytics or Health Equity
- Strong hands-on experience with SQL
- Strong hands-on experience with PySpark
- Proficiency with MS Excel, Word, PowerPoint
- Patient-level RWD analytics experience (IQVIA APLD, IQVIA LAAD, Symphony Claims, Komodo Health Claims)
- Market and sales analytics using IQVIA/IMS datasets (MIDAS) and U.S. EDI sales feeds (867/852)
- HCP engagement/interaction analytics using CRM activity data (Veeva)
- Health Equity / SES analysis using U.S. Census and demographic datasets integrated with patient/market data
- Data wrangling, quality assurance, triangulation across sources, and validation of results
- Ability to synthesize analyses into executive-ready deliverables and actionable recommendations
- Preferred: Python, Dataiku, visualization tools (Tableau, Qlik)
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The Company
What We Do
Trinity Life Sciences is a modern partner to companies in the life sciences industry with nearly 30 years of expertise. The firm combines strategy, insights, and analytics to help life science executives with clinical and commercial decision-making. Serving over 300 pharmaceutical, biotech, and medical device clients, Trinity helps them develop the right drugs and devices for today’s market and optimize them once in market.
