Data Analyst and Documentation Officer at NCBA Group

Key Responsibilities Performance Measurement

Data Analysis

• This position is responsible for supporting the achievement of Corporate Banking Division financial returns through provision of insightful and timely reports that can be used to make appropriate
• decisions.
• Develop management information reports that can be used to identify monetizable trends from customer’s data.
• Participate in regular business deep dives to analyse business unit performance to identify areas that require remedial action.
• Working with the BI technical team in IT and finance, develop customer 3600 capability on the SAP BI system.
• Working with the rest of the analytics and digital business intelligence teams to support digital business growth agenda through provision of relevant data to be uploaded on the digital platform.
• Lead the team in automation of reports in the end state BI system.
• Perform other ad hoc analytics duties to be allocated to them from time to time.

Internal business processes

• Participate in reviewing the data warehouse governance and structure to ensure the data meets and serves business needs.
• Supporting in automation of Corporate Banking performance reports.
• Perform regular data analysis to uncover revenue opportunities and identify income leakages.
• Respond to ad-hoc requests in set SLA.

Customer Experience

• Track and report customer experience metrics for business units in partnership with customer experience department and business units
• heads. The reports should track CRM data base for;
• Up to date account plans for all Corporate Banking customers.
• Call reports filed within 24 hours after customer visit.
• Tracking aged service requests

Academic Qualification
Bachelor’s degree in mathematics, actuarial science, statistics, computer science or business related field from a recognized accredited university.

Job Experience

• At least 2 years’ experience working in the area of data analysis in a role requiring:
  • Strong attention to detail.
  • Strong analytical and data gathering skills
  • Data organization skills
  • Professional/technical skill- Analysts are expected to have advanced proficiency in Python, SQL, Excel, Power BI and PowerPoint. Experience with other professional programs (e.g. R, STATA, Access) is a plus.
  • Outstanding responsiveness to feedback:- We believe that ability to act on both reinforcing and redirecting feedback is the fastest way to grow. Candidate should exhibit an ability to take feedback as a chance to improve, and know how to give feedback in a constructive manner.