Applied AI Analytics Engineer
- Source: LinkedIn
- r3 Consultant
- On-site
- Hyderabad
- Full-Time
- Mid level
Job Description
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:
- 1–2 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, fast learner — evidence from side projects, GitHub, hackathons
- Prior EdTech / high-growth B2C consumer tech exposure is a plus
Details:
Hyderabad 5 days/week, 9 AM–6:30 PM10–12 LPA
Notice period: 1–2 months (1 month preferred)
Skills
- hex_2
- google-cloud-platform
- dbt
- Cursor
- Python
- looker
- Github
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