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About the role
We're hiring an Applied AI Analytics Engineer to drive end-to-end analytics engineering on a GCP/BigQuery + dbt stack and push what AI tools (Cursor, Hex, MCPs, custom agents) can do for fast, decentralized decision-making. What you'll own: Advanced SQL on BigQuery design data models, write optimized/cost-aware queries, build core tables others build on Use Gen AI tools to accelerate analysis, automate repetitive work, and ship prototypes fast Build self-serve interfaces (Hex apps, agents) so Product/Ops/Engagement can run their own analysis Modular dbt models with versioning, tests, and quality monitoring Work directly with cross-functional teams sprint planning, roadmap input, proposing better tooling Own data quality documentation, data dictionaries, standardization What we're looking for: - 12 years in analytics, GCP-centric (BigQuery, dbt) preferred - Hands-on with Cursor, Hex, MCPs, or custom agents not just buzzwords - Strong Python for automation & EDA + solid grasp of statistics - BI fluency Looker Studio (or equivalent) + Sheets - Top-tier engineering/quant background (IIT/NIT/BITS/IIIT or equivalent) - Self-taught, rapid learner evidence from side projects, GitHub, hackathons - Prior EdTech / high-growth B2C consumer tech exposure is a plus Details: Hyderabad | 5 days/week, 9 AM6:30 PM 1012 LPA Notice period: 12 months (1 month preferred) We're hiring an Applied AI Analytics Engineer to drive end-to-end analytics engineering on a GCP/BigQuery + dbt stack and push what AI tools (Cursor, Hex, MCPs, custom agents) can do for fast, decentralized decision-making. What you'll own: Advanced SQL on BigQuery design data models, write optimized/cost-aware queries, build core tables others build on Use Gen AI tools to accelerate analysis, automate repetitive work, and ship prototypes fast Build self-serve interfaces (Hex apps, agents) so Product/Ops/Engagement can run their own analysis Modular dbt models with versioning, tests, and quality monitoring Work directly with cross-functional teams sprint planning, roadmap input, proposing better tooling Own data quality documentation, data dictionaries, standardization What we're looking for: - 12 years in analytics, GCP-centric (BigQuery, dbt) preferred - Hands-on with Cursor, Hex, MCPs, or custom agents not just buzzwords - Strong Python for automation & EDA + solid grasp of statistics - BI fluency Looker Studio (or equivalent) + Sheets - Top-tier engineering/quant background (IIT/NIT/BITS/IIIT or equivalent) - Self-taught, rapid learner evidence from side projects, GitHub, hackathons - Prior EdTech / high-growth B2C consumer tech exposure is a plus Details: Hyderabad | 5 days/week, 9 AM6:30 PM 1012 LPA Notice period: 12 months (1 month preferred)
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