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Senior role in Bangalore with common analytics tooling and hybrid startup brand yields moderate competition.
Core analytics skills transfer across industries, though event-based modeling and insurance context add moderate specialization.
Multiple mandatory filters: 8+ years, expert SQL/DBT, BI tooling, and data reliability experience.
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Own and drive design, build, and validation of event-based foundational data models serving as the single source of truth for core business metrics.
Develop and maintain scalable self-serve analytics tools and dashboards enabling stakeholders to independently access insights, ensuring broad adoption across teams.
Lead integration of AI-driven capabilities to enhance analytics workflows, improve data discoverability, and reduce manual analyst dependencies.
8+ years experience building and scaling data models, data pipelines, and self-serve analytics systems.
Expert-level SQL skills and strong experience with DBT or equivalent data transformation frameworks.
Hands-on experience with BI/self-serve analytics tools such as Amplitude, Mode, or Looker.
Work Experience Required: 8+ years
Experienced in end-to-end ownership of analytics from raw data pipelines through executive dashboards, blending strategic vision with hands-on execution.
Deep understanding of event-based data modeling, instrumentation best practices, and data reliability monitoring.
Proven ability to drive self-serve analytics adoption and translate complex technical data into actionable business insights for non-technical stakeholders.