Business Analyst – Data Science Management & Portfolio Analysis at I&M Bank

Primary responsibilities:

• Obtain and compile requisite data from various sources data for analysis and interpretation to achieve desired departmental goals / metrics relating to product efficiency, customer satisfaction, performance targets [both financial and operational).
• Follow up on revenue leakage and assurance activities to conclusion and prepare departmental reports as necessary.
• Automate data analysis and reporting to ensure there is timely delivery of sales reports and other MI needed for decision-making.
• Mine and analyze data from bank’s databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Work with data analytics team members, develop capability to produce relevant Ad Hoc reports that meet Transactional Banking teams MI requirements.
• Develop easy to understand MI reports for Transactional Banking and Relationship teams across the segments to gain deep understanding of their business that will assist them drive growth and profitability.
• Perform regular data analysis to uncover revenue opportunities and identify income leakages. Such opportunities include cross sell and upsell opportunities, campaigns etc.
• Develop predictive modelling to increase and optimize customer experiences, to foretell and avert attrition, increase revenue generation, and guide marketing campaigns.
• Lead in training programs to up skill the team on modern data analytics methods.
• Through regular trainings, aligning frontline to achieve desired productivity.
• Track waivers and conditions used to justify and if still valid for renewal.
• Conduct detailed segmented reporting of revenue and volumes by, product lines, per Segment, per RM, per Branch etc.
• Track departmental budgets against expenditure and provide monthly and Ad hoc reports on the same.

Minimum requirements

• Bachelor’s degree in a business or Information Technology related field.
• 5+ years banking or Fintech experience or equivalent.
• Experience in usage of advanced analytics tools including advanced Excel, Power BI, VBA, SQL, Python, R and other data analysis tools.
• Accounting or IT course and experience will be an added advantage.