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Tier-1 brand, metro location, generalist senior data title, and broad BI/big-data requirements drive high competition.
Core data engineering and analytics skills transfer across industries, though payments experience is a preferred bonus.
Extensive mandatory tech stack, senior-level responsibilities, and leadership expectations imply high shortlisting strictness.
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Design, develop, and maintain data engineering pipelines, advanced reports, and data visualization solutions supporting multi-product and multi-market analytics.
Drive strategic business decisions by uncovering insights through advanced modeling and cross-functional projects leveraging large-scale databases and analytical tools.
Lead and mentor junior analysts and data engineers, overseeing recruitment, training, and development to build analytic capabilities globally.
Strong experience in data management, data mining, analytics, reporting, and quantitative analysis.
Advanced SQL skills and proficiency with BI/visualization tools such as Tableau, Power BI, and QlikView.
Bachelor’s or Master’s degree in Computer Science, IT, Engineering, Mathematics, or Statistics.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing and optimizing large-scale/big data environments using tools like Databricks, Microsoft Fabric, Cloudera Hadoop, cloud platforms (AWS, Azure), and programming (Python, PySpark, Hive, R).
Skilled at translating complex data into clear, executive-level insights and recommendations with strong stakeholder management experience.
Proven ability to lead and mentor cross-functional teams, with background in product data analytics and driving measurable business impact in fast-paced environments.