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Tier-1 brand, metro Bengaluru, mid-level generalist title, and broad BI/GenAI requirements increase competition.
Core analytics and tooling transfer across industries, though retail domain experience is beneficial.
Explicit 5-8 years plus mandatory SQL/BigQuery/Spark/Python and BI tooling imply high strictness.
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Collaborate with business leaders across various domains to translate business problems into actionable data insights using advanced analytics and AI-driven solutions.
Develop and deliver scalable analytical models including decision support, forecasting, optimization, and automation leveraging large-scale datasets and tools like GCP BigQuery, Spark, SQL, and Airflow.
Communicate insights effectively to non-technical stakeholders and ensure analytical outputs align with business context and data protection standards.
5-8 years overall experience with 3-5 years relevant experience in data analytics.
Degree: B.Tech/B.E. or Masters in Statistics/Econometrics/Mathematics or equivalent quantitative degree (e.g. Math, Statistics, Econometrics, Data Sciences, Computer Science).
Proficient in SQL, SQL optimization, data warehouse and BI concepts; experience with structured databases (Teradata, Oracle, Hive) and unstructured databases like HDFS.
Hands-on experience with BI visualization tools (Power BI, Looker, Tableau), programming languages (R, Python, Hive), advanced analytics techniques (regression, time series, classification), and working knowledge of Git and agile environment.
Experienced in integrating Generative AI and LLM-based solutions into analytical workflows to automate insight generation and decision support.
Strong background working with large-scale retail or merchandising datasets and analyzing marketing or supply chain data.
Skilled in translating complex analytics into clear business insights, balancing technical rigor with effective communication to business stakeholders.