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Generalist Data Analyst title, mid-level range, metro location, and broad required skills increase competition.
BFSI domain preference reduces cross-industry transferability, though core Python/SQL analytics skills remain transferable.
Explicit 3-6 years plus mandatory Python, SQL, Advanced Excel and BFSI preference raise filter strictness.
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Analyze banking and customer data to identify trends, perform quantitative and qualitative business performance evaluations.
Develop and enhance analytical and predictive models using Python, SQL, and machine learning techniques such as Regression, Decision Trees, and NLP.
Generate reports, dashboards, and presentations; monitor KPIs; and support forecasting and resource planning for business stakeholders.
3 to 6 years of experience in data analytics, preferably in BFSI Lending, Cards, or PSL domain.
Strong hands-on experience in Python, SQL, and Advanced Excel required.
Bachelor’s degree in IT/Computer Science or Graduation in Statistics/Mathematics; Data Science certifications preferred.
Location: All Persistent locations; job type full-time employment; specific notice period not mentioned.
Experienced in BFSI domain analytics focusing on lending, cards, or priority sector lending, with ability to handle complex datasets and draw business insights.
Proficient in applying machine learning techniques to develop predictive models for business decision-making.
Capable of collaborating closely with both business and technology teams to deliver actionable analytical solutions.