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Tier-1 brand, metro location, common BA title, and mid-level experience increase candidate competition.
Core data engineering and analytics skills are transferable, though banking retail context adds moderate domain specificity.
Explicit 2-4 years plus mandatory PySpark/Python/SQL/Hive skills enforce strict technical filters.
Own various data activities including acquisition, processing, analysis, maintenance, quality assurance, and reporting related to NAM CG.
Build dashboards, reports, data pipelines, automations and conduct routine analyses on digital performance metrics to support retail & digital processes.
Collaborate with cross-functional teams to gather requirements and contribute to digital analytics frameworks and methodologies.
2-4 years of relevant experience in data analysis with analytics focus.
Proficiency in Pyspark, Python, SQL, and data visualization tools like Tableau.
Experience working with big data technologies such as Hive, Impala, and Pyspark.
Work Experience Required: 2-4 years relevant experience (explicitly mentioned).
Experienced in integrating specialty knowledge with industry standards in retail and digital analytics.
Skilled at interpreting complex datasets and formulating actionable recommendations to improve digital strategies and user engagement.
Able to communicate complex data insights clearly to non-technical stakeholders and work across functions to achieve objectives.