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Tier-1 brand, generalist Data Analyst title, and metro locations increase applicant competition.
Core analytical and SQL skills are broadly transferable across industries.
Multiple mandatory technical skills (advanced SQL, AWS/Databricks, data quality) but no explicit years requirement.
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Analyze large datasets using advanced SQL to generate actionable business insights and support decision-making.
Develop and maintain dashboards, reports, and analytical views aligned with stakeholder needs.
Ensure data quality through validation, reconciliation, and document analytical assumptions, KPIs, and business rules for reuse.
Advanced proficiency in SQL including querying, joins, window functions, and aggregations.
Experience with data lakes, data warehouses, and AWS data services or Databricks.
Strong data analysis skills with experience in Excel (advanced formulas, pivot tables) and handling structured and semi-structured data.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in collaborating with business, product, and data engineering teams to define KPIs and analytical requirements.
Detail-oriented with strong documentation discipline to improve transparency and reusability of analyses.
Skilled in translating complex business questions into data-driven insights and clear, concise communications to stakeholders.