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Tier-1 brand, metro Bangalore location, and broad senior data analyst title increase applicant competition.
Core analytics engineering skills (dbt, SQL, Snowflake) are transferable, but IT-ops focus narrows applicability.
Senior role with mandatory dbt, Snowflake, SQL, Python, and data-quality requirements raises filtering rigor.
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Design, build, and maintain scalable, modular data models using dbt and Snowflake to support analytics and reporting on IT and multi-cloud infrastructure.
Translate business requirements into robust, reusable data models with clear metrics and logic, ensuring data quality through testing and documentation.
Lead end-to-end analytics initiatives, including technical design discussions and architectural decisions in the analytics stack.
Significant experience in analytics engineering, data transformation, or modern BI engineering roles.
Advanced SQL expertise with complex transformation and optimization skills.
Experience building and maintaining data models using dbt in production environments and working with cloud data warehouses, preferably Snowflake.
Proficiency in Python for data processing and automation, plus experience with AWS or equivalent cloud technologies.
Experienced in operating at the intersection of analytics and data engineering with strong skills in data modelling and metric standardization.
Able to engage effectively with stakeholders to translate business needs into technical solutions within a multi-cloud IT infrastructure context.
Capable of leading technical design and architectural decisions in an analytics environment supporting operational performance metrics.