Decision Analytics Associate Consultant - Commercial Analytics

ZS; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

ZS is a management consulting and technology firm delivering AI-enabled analytics to improve outcomes across healthcare and life sciences. The role involves building and analyzing modules within analytics products, balancing AI engineering with core analytics for client engagements.

You will guide associates, interact with client analysts and product owners, and deliver end-to-end analyses from data ingestion to insights, applying descriptive, diagnostic, and forecasting techniques.

Qualifications

• Bachelor’s or master’s degree with strong quantitative coursework such as data science, statistics or engineering.
• 2-5 years of relevant post-college experience (PhD may substitute).
• Strong SQL skills including window functions and large-table joins.
• Proficiency in Python, pandas and PySpark; version control with Git.
• Hands-on experience with LLM applications (prompting, context engineering, tool calling).
• Experience translating business questions into analyses with QC and clear client-ready outputs.

Responsibilities

• Own modules within AI-enabled analytics products and deliver core analytics workstreams for client teams.
• Split focus roughly 50/50 between AI engineering and core analytics, adapting to release cycles.
• Guide Associates on modules, review code, and manage blockers for your workstreams.
• Deliver analyses across commercial, medical, market access, and related functions from data pull to insight.

Skills

SQL

Python

LLM Applications

Applied Analytics

Education

Bachelor's or Master's in quantitative/analytic field

Tools

Databricks

pandas/PySpark

Claude Agent SDK

LangGraph

Job description

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.

Insights Analytics is a group that partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.

The role

A hands-on build-and-analyze role. You own modules within AI-enabled analytics products and independently deliver core commercial analytics workstreams for the same client teams. Expect roughly a 50/50 split between AI engineering and core analytics, flexing with the release cycle. You work under a Consultant, guide Associates on your modules, and interact directly with client analysts and product owners.

This is not a pure AI/ML engineering role. You will be staffed across build and analytics work for the same client depending on demand. Both halves are required.

What you’ll do

• AI analytics engineering (~50%)
  • Build and maintain pipeline components on Databricks: Delta transformations, metric views, signal-detection logic, LLM narrative steps, app-facing data contracts.
  • Implement agent tools, prompts and context assets on an agent SDK (Claude Agent SDK or equivalent); write the unit and regression tests that go with them.
  • Run evaluation harnesses: score LLM outputs against rubrics, triage failures, log defects, propose fixes.
  • Implement data-layer guardrails (governed tables, scope-controlling joins) and KPI canonicalization in code.
  • Support SIT/UAT: test cases, evidence capture, defect lifecycle in JIRA.
• Core commercial analytics (~50%)
  • Deliver analyses across client functions commercial, medical, market access, clinical development, enterprise operations under Consultant direction, from data pull to insight.
  • Apply the appropriate method descriptive and diagnostic analysis, cohorts, segmentation, forecasting basics, test-and-control and explain why it fits.
  • Work hands-on with varied data: syndicated and patient-level real-world data, clinical and trial data, engagement and CRM data, payer, operational and financial data.
  • QC your own work reconciliation to source, benchmark and sanity checks and turn analysis into clear slides and written summaries for client review.
• Team
  • Guide 12 Associates on module-level work; review their code and outputs.
  • Own status and blockers for your modules; elevate early.

What you’ll bring

• Bachelor’s or master’s degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering.
• 2-5 years of relevant post-collegiate job experience. A PhD may substitute in lieu of work experience.
• SQL strong. Window functions, cohort logic, joins across large tables.
• Python strong. pandas/PySpark, functions and modules, tests, Git.
• LLM application hands-on Prompt and context engineering, RAG or tool calling; at least one application built end to end with a documented evaluation approach. Agent frameworks (Claude Agent SDK, LangGraph) a plus.
• Applied analytics; translating business questions into analysis with QC: descriptive and diagnostic analysis, cohorts, segmentation, test-and-control, forecasting basics. Life-sciences or healthcare data experience preferred any function; exposure to real-world data (claims, EHR), clinical/trial or engagement data a plus.
• Clear written summaries and slides; comfortable presenting your own work to clients.
• Delivers modules end to end; asks the right questions early.
• Fluency in English
• Client-first mentality
• Intense work ethic
• Collaborative spirit and problem-solving approach