Senior Business Analyst

Trinity Life Sciences; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Trinity Life Sciences is seeking an analytics professional to drive insights from large, multi-source datasets in the health domain. You will translate business questions into rigorous analyses and build end-to-end methodologies to quantify impact. Proficiency in SQL and Pyspark is required, with Python/Dataiku/Tableau a plus.

You will own data preparation, ensure data quality, and deliver statistically sound, executive-ready deliverables that influence client decisions and strategies.

Qualifications

• 2+ years of professional experience in Sales/Field analytics or Health Equity.
• Must be well versed with MS Excel, Word and PowerPoint.
• Must have strong hands-on experience with SQL and Pyspark.
• Nice to have Python, Dataiku, Tableau or Qlik, etc.
• Domains include patient-level data analytics using real-world data sources and market analytics.

Responsibilities

• Drive high-impact insights through analysis and visualization of large, multi-source datasets.
• Structure ambiguous business questions into clear analytical problems and end-to-end methodologies.
• Apply advanced statistical techniques to test hypotheses and support decisions.
• Own data preparation, quality assurance, and validation across sources.
• Deliver ad-hoc and recurring analytic workstreams on time and with quality.
• Create executive-ready narratives and recommendations from complex analyses.
• Partner with seniors on client engagements by developing analyses and defensible storylines.

Skills

Analytical thinking

Communication

Problem solving

Tools

SQL

Pyspark

Python

Dataiku

Tableau

Qlik

MS Excel

MS Word

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:

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