Require a Banking - Business Analytics Analyst in Mumbai

• Collect, clean, and analyze large volumes of banking transactional, customer, and operational data using SQL, Python, and statistical tools.

• Develop and maintain dashboards and reports using tools such as Tableau, Power BI, or QlikView to monitor KPIs across business units.

• Conduct in-depth data analysis to identify trends, anomalies, and opportunities in customer behavior, credit risk, and product performance.

• Partner with business stakeholders across retail banking, credit, treasury, and compliance to define metrics, deliver insights, and support data-driven decisions.

• Build predictive models and perform scenario analysis to forecast revenue, loan defaults, customer churn, and market trends.

• Automate routine reporting processes to improve efficiency and reduce manual errors.

• Ensure data quality, integrity, and compliance with internal controls and regulatory standards (e.g., RBI guidelines, GDPR, or local data protection laws).

• Present findings and recommendations to senior management through clear, compelling visualizations and executive summaries.

• Stay abreast of emerging analytics technologies and industry best practices to continuously enhance analytical capabilities.

• Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Finance, Computer Science, or a related quantitative field.

• 2–5 years of experience in business analytics, data analysis, or a similar role within the banking or financial services industry.

• Proficiency in SQL and experience working with large-scale relational databases (e.g., Oracle, SQL Server, or PostgreSQL).

• Strong working knowledge of Python or R for data manipulation, statistical analysis, and modeling.

• Expertise in data visualization tools such as Tableau, Power BI, or Qlik Sense.

• Demonstrated experience in building KPI dashboards, reporting frameworks, and predictive analytics models.

• Solid understanding of banking operations, including retail lending, deposit products, credit risk, and customer lifecycle management.

• Excellent analytical, problem-solving, and communication skills with the ability to translate complex data into business-friendly insights.

• Detail-oriented with strong organizational and time management skills, capable of managing multiple priorities in a fast-paced environment.

• Familiarity with regulatory requirements in the Indian banking sector (e.g., RBI norms, KYC, AML) is highly desirable.

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