Back
Generalist Data Analyst title, mid-level (2+ years), and Bangalore metro boost applicant competition.
SQL, ETL, Python and BI skills are broadly transferable across industries.
Explicit 2+ years plus required SQL/Python and BI tooling creates moderate filtering but not extreme specialization.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own and improve data ETL processes ensuring reliable, high-quality product selection data for multi-billion dollar business decisions.
Leverage SQL, Python/R, and prompt engineering with AI tools to automate catalog categorization and extract insights from unstructured data.
Support business users by designing training and dashboards to enable data-driven decisions for category managers and vendors.
Minimum 2 years experience in data analytics or business intelligence.
Proficiency in SQL and Python or R for data extraction and manipulation.
Experience with prompt engineering and generative AI tools for data problem-solving or content automation.
Business-level English proficiency with demonstrated ability to onboard non-technical users.
Experienced in retail, e-commerce selection management, or demand forecasting domains.
Skilled in data storytelling and visualization using PowerBI, Tableau, or similar.
Familiar with data engineering tools such as GitHub and Airflow; understands quantitative/statistical modeling and ML techniques.