Back
Tier-1 brand, generic Data Analyst title, mid-level (2-6yrs), Bangalore location, broad skillset increases competition.
Core analytics skills transfer across industries, though retail/merchandising experience is preferred.
Explicit 2–6 year requirement plus mandatory SQL, BI, BigQuery and Python/R skills raise strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Collaborate with business leaders to provide data-driven insights across multiple domains like Marketing, Merchandising, Supply Chain, Store Operations, and Finance.
Execute data analysis using established methodologies, develop and maintain reports/dashboards, and apply foundational predictive and diagnostic analytics techniques.
Query and analyze large datasets using SQL and platforms like GCP BigQuery; support data pipeline development and ensure quality and accuracy of outputs.
2-6 years overall experience with 1-3 years relevant experience in data analysis.
Bachelor's degree such as B.Tech/B.E or Master's in Statistics/Econometrics/Mathematics (equivalent) required.
Strong hands-on experience with SQL, including joins and query tuning; experience with at least one BI visualization tool (e.g., Power BI, Tableau).
Experience with large-scale data platforms (e.g., GCP BigQuery, Spark), data pipeline tools (e.g., Airflow), and knowledge of structured/unstructured databases.
Comfortable working in a fast-paced, agile environment collaborating closely with senior analysts and stakeholders.
Experience or strong interest in retail, merchandising, or marketing analytics as added advantage.
Familiar with analytical techniques (regression, time-series, classification), source code management (Git), and capable of leveraging AI tools to enhance productivity.