Senior Business Analyst

Trinity Life Sciences

India

On-site

INR 800,000 - 1,200,000

Full time

14 days+

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Job summary

Trinity Life Sciences in India is seeking an analytical professional to drive insights through rigorous analysis of complex datasets. The role involves structuring business questions, applying advanced statistical techniques, and preparing executive-ready deliverables.

Ideal candidates should have 2+ years of experience in Sales/Field analytics or Health Equity, and strong technical skills in SQL and PySpark. The position is vital for understanding market trends and engagement effectiveness.

Qualifications

  • 2+ years of professional experience in analytics or Health Equity.
  • Proficient in SQL and PySpark, with knowledge of Python and Dataiku being a plus.
  • Experience with patient-level data analytics using real-world data sources.

Responsibilities

  • Drive insights through analysis of complex, multi-source datasets.
  • Lead structuring of business questions into analytical problems.
  • Manage timelines and quality of ad-hoc and recurring analytical workstreams.

Skills

Sales/Field analytics
Health Equity
SQL
PySpark
Data visualization tools (Tableau, Qlik)

Tools

MS Excel
MS Word
MS PowerPoint

Job description

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:
    • Strong hands‑on experience with SQL and PySpark
    • Good to have: Python, Dataiku, any visualization tool (Tableau, Qlik) etc.
  • Domain experience:
    • 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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