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Strong fintech brand, metro location and mid-level generalist data role drive high competition.
Core SQL, Python and BI skills are highly transferable across industries despite fintech context.
Explicit 3–5 years plus mandatory advanced SQL, Python and BI tooling increases filter strictness.
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Lead the creation, maintenance, and improvement of MIS reports, dashboards, and business performance trackers.
Analyze large datasets to extract business trends, operational gaps, and growth opportunities, enabling data-driven decision-making.
Drive end-to-end delivery of analytical initiatives, including automation with AI tools, and mentor junior analysts on best practices.
3-5 years of relevant work experience.
Proficient in advanced SQL, Python for data analysis and automation, and dashboard tools like Power BI or Tableau.
Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, Data Analytics, IT, or related fields.
Familiarity with AI tools such as Claude, Gemini, or other Generative AI platforms.
Experienced in handling large datasets and building scalable analytical solutions in a fast-paced fintech or technology environment.
Strong communicator able to present insights effectively through storytelling and influence senior business stakeholders.
Demonstrates independent ownership of analytics projects and capability to lead and mentor a team.