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Mid-level 3–7 year band and metro demand balanced by niche analytics stack (Tableau, Snowflake, dbt).
Analytics engineering skills transfer across industries but require BI and data-platform specific expertise.
Explicit 3–7 year requirement plus mandatory Tableau, SQL, Python, and Snowflake skills.
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Design, develop, and deliver scalable enterprise-grade Business Intelligence (BI) data products to enable data-driven decision making.
Build and maintain data ingestion, transformation, and orchestration pipelines using SQL, Python, and cloud data platforms.
Create and optimize interactive BI dashboards and applications primarily using Tableau, ensuring performance, governance, and user experience.
3–7 years of experience delivering enterprise Business Intelligence and Analytics solutions.
Advanced expertise with Tableau Desktop and Tableau Cloud/Server including dashboard development, performance optimization, and governance.
Strong skills in SQL and Python for data transformation, automation, and advanced analytics workflows.
Experience with cloud data platforms (e.g., Snowflake, Azure Synapse, Big Query, Amazon Redshift) and ETL/ELT pipeline development.
Experienced BI analytics engineer with cross-functional collaboration skills to deliver scalable analytical solutions aligned with business needs.
Capable of integrating multiple data sources and automating reporting and validation workflows leveraging modern analytics engineering and software practices.
Comfortable working in Agile environments and embracing emerging BI technologies including AI-assisted analytics and data science enablement.