Kenya Commercial Bank Limited is registered as a non-operating holding company which started operations as a licensed banking institution with effect from January 1, 2016. The holding company oversees KCB Kenya – incorporated with effect from January 1, 2016 – and all KCB’s regional units in Uganda, Tanzania, Rwanda, Burundi, Ethiopia and South Sudan.

KEY RESPONSIBILITIES: 

• Transform large, complex datasets into pragmatic, actionable insights, leverage data to identify, quantify and influence tangible business gain by performing ad-hoc analysis and presenting results in reports, dashboards and charts.
• Provide support in establishing the viability for new products in the market i.e. Business Cases formulation, outlining revenue lines and costs for each product.
• Develop performance measurement dashboards e.g. for KPIs, targets etc. which serve as a yardstick for analyzing the performance of digital products and services.
• Produce product performance reports – Daily/Weekly/Monthly/Quarterly/Annual reports to internal and external stakeholders
• Prepare competitor products analysis to benchmark on performance, market share and determine opportunities for growth.
• Provide data to the Data Analytics and Risk teams to support the regular update of tools and working models
• Prepare reports for regulatory &/or statutory reporting.

REQUIREMENTS

The successful candidate should have the following:

• A Bachelors in Business, Statistics, IT, Data Analysis or related quantitative fields is preferred. Masters Degree or related Professional qualifications will be an added advantage.
• Professional Certification in Business Analysis/IMIS/CPA/ Certification in data analysis e.g. SPSS/Power BI will be an added advantage
• At least 3 years’ experience in data analysis, commercial analysis or performance reporting is required.
• Experience with relational databases such as Oracle, SQL queries is preferred.
• Experience in extracting data from a variety of data sources and different formats

Additionally, the preferred candidate will demonstrate the following skills and attributes:

• Passionate about and solid experience in analytics tools
• Commercially minded and experienced in interpreting data into meaningful information and actions.
• Proven ability to collaborate with other team members across boundaries and contribute productively to the team’s work and output, demonstrating respect for different points of view.
• Able to use strong interpersonal and teamwork skills to cultivate effective, productive client relationships and partnerships across organizational boundaries.
• Strong co-ordination and project management skills to handle complex projects