





Popular generalist data role, metro location, and broad toolset requirements increase candidate competition.
Core SQL, BI and Python skills are highly transferable across industries.
Mandatory SQL, Power BI and Python skills but no explicit years requirement makes selection moderately strict.
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Analyze large datasets to identify trends and insights to support business decisions.
Develop and maintain SQL queries and data pipelines for detailed funnel analysis and reporting.
Build and manage interactive dashboards and reports primarily using Google Analytics and Power BI.
Proficient in SQL including querying, joins, aggregations, and data transformations.
Experience with Power BI Desktop and DAX for dashboard and visualization development.
Basic knowledge of Python for data analysis and automation.
Work Experience Required: Not explicitly mentioned in the JD.
Comfortable managing multiple priorities in a fast-paced environment independently.
Experienced in collaborating with cross-functional teams to deliver data-driven solutions.
Familiarity with cloud data warehouses (e.g., Snowflake) and ETL/orchestration tools (e.g., DBT, Airflow) is a plus but not mandatory.