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Tier-1 brand, mid-level generalist data role in Bangalore with broad skillset increases candidate competition.
Core analytics skills transfer across industries, though fintech domain knowledge is moderately preferred.
Explicit 3–5 years plus mandatory SQL, Python, BI, and leadership requirements increase screening rigor.
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Own MIS reporting, business analytics, dashboarding, and automation for key business functions.
Analyze large datasets to generate actionable insights and identify business trends or performance gaps.
Lead end-to-end delivery of analytics initiatives, mentor junior analysts, and drive data-driven decisions through collaborative stakeholder engagement.
3-5 years of relevant work experience.
Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, Data Analytics, IT, or related field.
Advanced SQL skills and hands-on experience with Python for data analysis and automation.
Hands-on experience with Power BI and/or Tableau, and familiarity with AI tools like Claude, Gemini, or other GenAI platforms.
Experienced in managing large datasets and building interactive dashboards with strong analytical problem-solving skills.
Able to independently lead analytical projects, mentor juniors, and collaborate across functions to influence business strategy.
Comfortable with integrating AI tools for automation and advancing analytical workflows in a fast-paced environment.