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Popular mid-level data analyst role in a metro with common skillset increases applicant competition.
Data analytics skills and tools are broadly transferable across industries.
Explicit 4–6 years plus mandatory expert SQL and specific modern data-stack skills.
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Own end-to-end data analysis including building and optimizing SQL queries, developing dashboards, and creating data models to support business insights.
Collaborate with Data Engineering, Product, and Business teams to translate business requirements into actionable analytical solutions.
Ensure data accuracy and quality while supporting both real-time and batch analytics initiatives.
4–6 years of professional experience in data analysis or related roles.
Expert-level SQL skills are mandatory.
Proficiency in Power BI, dbt, Trino, Apache Flink, and Apache Superset required.
Location: Hyderabad; Work Mode: 5 days per week, Work From Office (WFO).
Experienced in handling large and complex datasets and delivering actionable business insights through data modeling and dashboarding.
Familiar with modern data platforms and tools including data lake/warehouse architectures such as Iceberg, Delta Lake, and cloud platforms (AWS, GCP, or Azure).
Capable of working cross-functionally with product, engineering, and business teams to drive strategic decision-making using real-time and batch analytics.