Back
Popular data analyst role, metro location, broad skillset required, and well-known employer increase competition.
Core analytics and SQL skills are transferable, though retail domain experience is a preferred advantage.
Explicit 2-6 year requirement plus mandatory SQL, BI, cloud and tooling skills make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Collaborate with business leaders across multiple domains to convert data into actionable insights influencing strategic decisions.
Execute data analysis, develop and maintain reports and dashboards to support business performance tracking and decision making.
Work with data engineering teams to support data pipeline development and ensure accuracy and quality of analytics outputs.
2-6 years overall experience with 1-3 years relevant experience in data analytics.
Bachelor's degree (B.Tech/B.E. or Masters in Statistics/Econometrics/Mathematics equivalent).
Hands-on experience with SQL including joins and query tuning; proficiency with BI visualization tools like Power BI, Looker, or Tableau.
Experience working with large-scale data platforms such as GCP BigQuery, Spark, Hadoop (HDFS), and familiarity with programming in R, Python, or Hive.
Has prior experience supporting retail, merchandising, or marketing analytics to align with business domain needs.
Comfortable applying foundational predictive and diagnostic analytics techniques including regression, time-series, and classification methods.
Skilled in working within agile environments, collaborating with cross-functional teams, and leveraging AI tools for automation and productivity improvements.