Decision Analytics Associate Consultant - Commercial Analytics +AI engineering
ZS (company site, opens in a new tab)2–5 yrsPuneRemoteDirect career pageEst. 12–22 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Own modules within AI-enabled analytics products, delivering AI engineering and core commercial analytics workstreams with roughly equal split.
- Build and maintain data pipeline components on Databricks, implement agent tools and evaluation frameworks, and support testing phases including SIT/UAT.
- Deliver analyses across various client functions using descriptive, diagnostic, and forecasting methods; guide 1–2 Associates and manage module status and blockers.
Minimum Requirements
- Bachelor's or master's degree in quantitative or analytic disciplines (e.g., operations research, applied mathematics, data science, statistics, econometrics, engineering).
- 2–5 years of relevant work experience or a PhD in lieu of experience.
- Strong proficiency in SQL (including window functions, cohort logic, joins) and Python (pandas/PySpark, functions/modules, testing, Git).
- Hands-on experience applying LLMs including prompt and context engineering and building at least one end-to-end application with evaluation.
Ideal Candidate Profile
- Comfortable delivering complete modules end to end and interfacing directly with clients and team members at various seniority levels.
- Experience translating business questions into analytics work using appropriate methods, demonstrating quality control and clear communication of insights.
- Familiarity with life sciences or healthcare data and working in client-facing consulting roles with hybrid on-site and travel requirements.