Lead Data Analyst
Skan AI (company site, opens in a new tab)10+ yrsOn-siteDirect career pageEst. 30–50 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end analytics function, including personally architecting and building Power BI and Superset dashboards tied to measurable business outcomes.
- Monitor, configure, and scale large-volume SQL/databases and reporting platforms; ensure data pipeline health and prevent outages.
- Lead and mentor an analytics team while collaborating with customers and cross-functional teams to tailor analytics solutions and influence product roadmap.
Minimum Requirements
- Minimum 10 years of hands-on leadership experience in business intelligence, advanced analytics, or data science with proven track record of delivering data-driven solutions.
- Deep hands-on expertise in SQL, databases, and data visualization tools (Power BI, Superset) with experience scaling to very large data volumes.
- Experience with data observability practices including monitoring schema drift, data freshness, and anomalies across BI and data warehouse layers.
- Work Experience Required: 10+ years of relevant leadership in BI/analytics/data science. Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Technically strong leader familiar with managing large-scale BI/data platforms and troubleshooting complex production issues autonomously.
- Experienced user of AI tools (LLM, NLP) to augment analysis but not focused on building ML models; comfortable bridging technical and non-technical stakeholders.
- Background in process mining, automation intelligence, or value engineering is preferred but not mandatory; demonstrates ability to partner cross-functionally and mentor teams.