Data Science - Data Analyst

Key Responsibilities

• Analyse business, customer, transaction, and lending data to identify trends, gaps, and opportunities.
• Build and maintain dashboards, MIS reports, automated reports, and performance trackers.
• Track and analyse KPIs across acquisition, conversion, lending, revenue, collections, and customer behaviour.
• Perform funnel, cohort, segmentation, and root-cause analyses.
• Translate business problems into structured analyses and actionable recommendations.
• Collaborate closely with Product, Business, Operations, Marketing, and Finance teams to support data-driven decision-making.
• Build and optimise advanced SQL queries and automated reporting workflows.
• Analyse experiments and measure their business impact.

Requirements

• 2+ years of hands-on experience in Data Analytics or Business Analytics.
• Strong proficiency in Advanced SQL.
• Strong Excel and/or Google Sheets skills, with experience using BI tools such as Power BI, Tableau, Looker, or similar platforms.
• Good understanding of business KPIs, funnels, cohort analysis, segmentation, statistics, and data visualisation.
• Experience in NBFC, Lending, BFSI, or Fintech is strongly preferred.
• Strong business acumen, analytical thinking, problem-solving skills, ownership, and communication skills.