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Strong employer brand, generalist analytics title, and Bangalore metro increase applicant competition.
Analytics engineering skills are highly transferable across industries.
Mandatory SQL, Python, dbt, and cloud warehouse expertise raises screening rigor.
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Partner with business and technology stakeholders to clarify objectives and deliver actionable data products addressing business needs.
Build and maintain scalable, governed datasets and pipelines using modern cloud warehouses and tools like dbt, Snowflake, and BigQuery.
Develop analytics, statistical models, and interactive dashboards in Qlik and other BI tools to provide clear decision-ready insights and enable self-service analytics.
Expertise in SQL, Python (Pandas), strong hands-on experience with Snowflake and/or BigQuery, dbt, and BI tools like Qlik.
Solid grounding in statistics, hypothesis testing, and model evaluation with ability to choose simplest effective approach.
Work Experience Required: Not explicitly mentioned in the JD.
Location: Bangalore, India.
Strong consulting and stakeholder management skills with focus on framing business problems and driving alignment on decisions.
Experience bridging data engineering and analytics with emphasis on data quality, repeatability, and pragmatic solution delivery.
Familiarity with analytics engineering practices including documentation, testing, semantic layers, and automation of repeatable analyses.