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Tier-1 brand, metro location, mid-level generalist title and common skillset increase applicant competition.
Core analytics skills (Python, SQL, BI) are highly transferable across industries, indicating low background sensitivity.
Explicit 2.5–4 years plus mandatory Python/SQL and Microsoft Fabric/SAC skills imply high shortlisting strictness.
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Perform data analysis and prepare reports using Python/R, SQL, and AI coding assistants to support business decision-making.
Collaborate cross-functionally to translate business requirements into analytical solutions and communicate findings effectively to varied audiences.
Continuously improve analytics workflows and adopt new tools such as Adobe Customer Journey Analytics to enhance data-driven outcomes.
2.5–4 years of professional experience in data analytics or data science.
Proficiency in Python and/or R for analytics and machine learning, and strong SQL skills.
Hands-on experience with AI-powered coding tools (e.g., Cursor AI, GitHub Copilot).
Work Experience Required: 2.5–4 years.
Experienced in iterative delivery and agile analytics development with strong emphasis on clean code and best practices.
Comfortable working in collaborative, cross-functional teams and engaging stakeholders to co-create value-driven analytics solutions.
Adaptable to adopting new analytics platforms (e.g., Adobe CJA) and integrating AI-assisted coding techniques into workflows.