Data Lead
Wonderful
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This role on the market
7,350 open data roles across 671 companies are on ApplySarthi right now, most of them in Bengaluru (418), Hyderabad (322), Mumbai (155).
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- Associate, ML Data Operations, GO-AI OperationsADCI - West Bengal - H29 · kolkata
- ML Data Associate-II, Artificial General IntelligenceADCI HYD 16 SEZ · hyderabad
- ML Data Associate-II, Artificial General Intelligence Data ServicesADCI MAA 12 SEZ · chennai
What data roles keep asking for: AWS (25%), SQL (23%), Python (22%) — counted across their open postings here.
ETL jobs · Looker jobs · SQL jobs · Snowflake jobs
Wonderful has 124 open roles listed here.
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for data roles keep coming back to AWS, SQL, Python. Practise those questions before you sit with Wonderful.
Questions you are likely to be asked
- Why do you want to join Wonderful?
- What is your experience with ETL? Tell me one thing you learned the hard way.
- Tell me about a time you disagreed with your manager. What happened?
- Where do you want to be in three years?
- What is a weakness you are working on, and how?
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Practise the Data Lead at Wonderful interview free →Role Overview As a Data Lead at Wonderful, you'll help shape how we measure, understand and scale our product and business. You'll work across product, operations, and business data - analyzing complex datasets, defining KPIs and building dashboards to drive clear, data-informed decisions. You'll own data processes end-to-end, from raw data and modeling to insights and impact. What You'll Do Analyze product usage, customer interaction and business data. Define and track KPIs across product, operations and business domains. Build dashboards and monitoring tools. Develop and maintain ETL pipelines and data models (Snowflake, dbt). Work closely with Product, Operations (GTM), Business and Engineering. What We're Looking For 3+ years of experience as Data Analyst. Strong proficiency in SQL - must. Strong business sense and ability to translate data into insights. Ability to work end-to-end, from raw data to business impact. Experience building ETL pipelines (Snowflake, dbt) - advantage. Experience building dashboards using BI tools (Looker / Tableau / Omni) - advantage. Nice to Have Experience with product analytics or customer interaction data. Experience in a fast-growing startup. Familiarity with AI-driven products. Candidate Privacy Notice
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Listed on ashby · posted 2026-03-22. ApplySarthi collects openings and links to application pages; the role is advertised by Wonderful, not by us.