Senior Data Analyst
Keka (company site, opens in a new tab)3–5 yrsHyderabadOn-siteDirect career pageEst. 10–18 LPA
Posted on 27 Aug
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Job description
Structured overview of role & requirements
About This Role
- Own the correctness and definition of core metrics, data models, and AI answer layer for the internal analytics platform.
- Investigate metric changes, automate repetitive analysis using AI agents, and ensure data quality with early error detection.
- Work cross-functionally with Revenue, Customer Success, Finance, and Executive teams to explain findings and handle sensitive data access properly.
Minimum Requirements
- 3–5 years experience in data analytics, analytics engineering, or applied data science in a product or SaaS company.
- Strong SQL skills including CTEs, window functions, complex joins, and performance tuning on large tables.
- Proficient in data modeling concepts such as grain, star schemas, and slowly changing dimensions; experience with cloud data warehouses (Snowflake preferred).
- Daily practical use of large language models (LLMs) with at least one automated workflow implemented using AI tools.
Ideal Candidate Profile
- Experienced in applying deep data modeling and advanced SQL to support product or SaaS business metrics.
- Comfortable integrating AI tools into workflows and automating data analysis rather than occasional AI usage.
- Capable of working across multiple teams with strong attention to detail and clear communication to non-technical stakeholders.