Retail Business Analyst at BPR Rwanda: (Deadline 14 September 2023)

Retail Business Analyst at BPR Rwanda: (Deadline 14 September 2023)

Retail Business Analyst at BPR Rwanda: (Deadline 14 September 2023)

Job Purpose:

To generate and analyze data and provide information on retail performance to all cross-functional units within retail.

Main Responsibilities:

  • Precise collation of data/reports and subsequent compilation, analysis, and presentation of the same for branches, regions, retail sector heads, management review, and major segments of the business.
  • Analyze data collated and promptly do reports with clear explanations on variances or raise/advise on concerns of business trends.
  • Preparation of monthly reports on performance and highlight key milestones made within the month and make proposals on the way forward.
  • Design user-friendly templates for use by retail sector heads in tracking weekly and monthly performance in their respective lines of products and financials.
  • Coordinate with other analysts on bank performance drawing focus on the retail product performance.
  • Ensure campaign reports are done consistently and at the set timelines and provide key highlights to keep the momentum and foster transparency in the campaign.
  • Design reports in collaboration with the database administrator in IT and update the reports as dictated by changes in the core banking system and the retail product basket.
  • Prepare daily sales reports for all unit heads, regional business and sales managers, and branch sales teams.
  • Hold custody of the business targets for the year in focus and update or revise as advised by the board through the head of retail banking.
  • Assist in preparing business and product proposals.

Educational qualifications and work experience:

  • Bachelor’s degree in business or mathematics/statistics.
  • Master’s degree in data science.
  • Professional Qualification: SQL, Python courses.
  • 3 years of experience in general banking.
  • 5 years of experience in business analytics, Business Intelligence.
  • 3 years of experience in data science.

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