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Tier-1 brand, metro location, common mid-level data role with broad popular skillset increases competition.
Analytics skills are transferable, though retail/domain preference moderately favors industry experience.
Preferred 2-4 years and multiple analytics tools listed create moderate rigidity in screening.
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Own end-to-end data analysis tasks to support business decisions, including handling high volume and time-sensitive business asks and ad-hoc requests.
Develop and automate reports, dashboards, and analysis using tools like Tableau, SQL, Python, and Alteryx to drive efficiency and value delivery.
Ensure data quality and integrity across large, complex data sets and collaborate on reusable knowledge assets and solutions.
2-4 years experience in analysis-oriented roles within domains like retail, CPG, telecom, or hospitality, preferably in marketing, supply chain, customer, merchandising, operations, finance, or digital.
Strong skills in data manipulation and visualization tools such as Tableau, Advanced Excel, Advanced SQL, Hive, Python, and automation using Alteryx or Python.
Understanding of business processes, statistical concepts (correlation analysis, hypothesis testing), and data warehousing concepts (Hadoop, Teradata).
Work Experience Required: 2-4 years in relevant analysis roles. Notice Period: Not explicitly mentioned in the JD.
Experienced analyst capable of translating complex business problems into analytical questions and actionable insights with ownership of analysis delivery.
Comfortable working under time pressure handling large data volumes and providing timely, high-quality deliverables including ad-hoc business asks.
Proficient with modern data tools and automation to optimize reporting and analysis processes, contributing reusable assets and collaborating across teams.