Back
Global brand, Bengaluru metro, popular analytics title, and broad toolset increase candidate competition.
Role emphasizes marketing and retail analytics domain knowledge, making industry fit moderately important despite transferable technical skills.
Explicit 8+ years plus mandatory SQL, BI, BigQuery/Spark, modeling, and retail analytics preference impose strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Serve as a strategic analytics partner to Marketing Analytics team, delivering scalable data solutions and actionable insights influencing marketing strategy.
Analyze marketing performance, guest behavior, loyalty engagement, campaign effectiveness, and audience strategy using large-scale datasets and advanced analytics.
Design and deliver reporting, dashboards, AI-enabled analytical solutions, and executive narratives to support measurable, faster, smarter decision-making.
8+ years relevant work experience with graduate or master’s degree in Statistics, Econometrics, Mathematics, Data Science, Computer Science, or equivalent.
Strong proficiency in SQL, SQL optimization, data warehousing/BI concepts, and experience with Teradata, Oracle, Hive, and HDFS.
Hands-on experience with BI visualization tools (Power BI, Looker, Tableau), programming languages (R, Python), and source control (Git).
Experience with analytical techniques (regression, time-series, classification, segmentation, forecasting) and working independently in fast-paced environments.
Experienced in Retail, Marketing, Loyalty, Customer, or Merchandising Analytics with ability to translate ambiguous needs into scalable AI-enabled analytical solutions.
Demonstrates strong business acumen, data storytelling, and ability to build executive-ready narratives that simplify complex analyses.
Skilled in driving adoption of AI-agent and agentic AI capabilities with strong understanding of responsible AI governance and scalable AI integration.