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Known global employer, Bangalore location, common data analyst title but dbt/Snowflake specialization reduces applicant pool.
Analytics engineering skills (dbt, Snowflake, SQL) are transferable across industries, with moderate domain specificity for IT operations.
Mandatory dbt, Snowflake, advanced SQL, Python and cloud experience create strict technical filters.
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Design, build, and maintain scalable, modular data models using dbt and Snowflake to support analytics and reporting across technology infrastructure and operations.
Transform raw operational data into trusted, analytics-ready datasets focusing on cloud efficiency, software asset insights, and operational performance metrics.
Lead analytics initiatives end-to-end, including discovery, development, validation, release, maintenance, and user support, while contributing to technical design and architecture decisions.
Significant experience in analytics engineering, data transformation, or modern BI engineering roles.
Advanced SQL expertise including performance optimization and complex transformations.
Experience building and maintaining data models using dbt in production environments and working with Snowflake.
Proficiency with Python for data processing and automation; Experience with AWS or equivalent cloud technologies.
Experienced in operating at the intersection of analytics and data engineering with focus on data transformation and model governance.
Strong stakeholder management skills with capability to translate business requirements into technical data models.
Comfortable leading technical design discussions and owning end-to-end analytics projects in a multi-cloud technology infrastructure environment.