Require a Banking Business Analytics Analyst in Mumbai

TestHiring

Job Location:

Mumbai - India

Monthly Salary: K 10 - 10

Experience Required: 2-5years

Posted on: 16 hours ago

Vacancies: 1 Vacancy

Job Summary

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.

Requirements

Bachelors or Masters degree in Statistics Mathematics Economics Finance Computer Science or a related quantitative field.
25 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.

Required Skills:

Proficiency in Power BI and data visualization. Strong analytical skills and ability to interpret data. Advanced knowledge of MS Excel (pivot tables formulas charts). Excellent presentation skills using PowerPoint. Knowledge of Value Stream Mapping (VSM) Time and Motion Study Process Qualification - MBA in Analytics/Operation or related field

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 i...

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.

Requirements

Bachelors or Masters degree in Statistics Mathematics Economics Finance Computer Science or a related quantitative field.
25 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.

Required Skills: