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.

RESPONSIBLITIES

• Lead the design, research and testing of product, concepts, customer value propositions and determine new ideas to drive product and service penetration by understanding new customer tastes and preferences, unarticulated customer needs and existing unmet needs, customer experience and sentiments.
• Employ a mix of quantitative and qualitative methods like AB testing, conjoint analysis, range ladders, and usability studies to define metrics that gauge the effectiveness of products, concepts, and value propositions. Analyze the data to generate actionable recommendations that drive optimal outcomes.
• Lead analytics on consumer behaviour and marketing effectiveness i.e. marketing mix modelling, ROI, Next product to buy, response modelling, Product optimization work, Concept optimization work etc
• Creating focus and ownership for shaping business’ future ambitions by leading collaboration efforts with Data and Analytics team to define next product to buy for customers and opportunities to focus business divisions / subsidiaries on cross sell.
• Manage the process of undertaking competitor analysis on core competitors, upcoming disruptors, industry, customer models but not limited to, market share, growth projections and trends. This also includes tracking changes in segment size and income pools for target customer value propositions with the aim of growing business value for the segments
• Provides the market, competitive intelligence, product, customer value propositions assessment for strategic planning, and proactively makes recommendations to management concerning key intelligence items that require further consideration.
• Manage a broad range of sources (internal and external) of current market information and making thematic presentations on micro-economic trends (growth of businesses, population, product demands and market potential for goods and services), tracking of pricing and product features for financial products and services to provide harmonized tariff details, trends and observations and elict feedback on the same whilst instilling confidence in market research.
• Provides impactful insights on product performance (top vs bottom) through proactively engaging with business leaders or leading co-creation workshops to understand needs, prioritize enhancement of customer value propositions and products with the aim to unlock business potential and pilot, test and incubate business solutions and products before scaling.
• Provides market and competitive insights through presentations and reports to the Executive Leadership Team and various internal management teams to allow effective strategic and tactical decision-making and implementation.
• Maintain close relationships with the research community to discover new partnerships and stay on the cutting edge of research.
• Develop a consumer insights dissemination strategy to ensure wide, regular and timely circulation of report
• Any other tasks allocated.

REQUIREMENTS

Education: Academic & Professional

• Bachelor of Commerce (Finance or Accounting Option) or other related business Degree, Bachelor of Arts (Economics), BSC (Mathematics or Financial Engineering)
• Advanced MS Excel skills

Experience 

Detail (examples) Minimum No of Years  Need Type5

• 5 years Market research
• 4 years Problem statement conceptualization
• 4 years Questionnaire design
• 4 years Sample design and development
• 4 years Development of a data analysis plan
• 3 years Product performance management
• 5 years Market Intelligence
• 5 years Competitor Analysis
• 4 years Data visualization SAP BI, Power BI,
• 4 years Data triangulation
• 4 years Preparation of senior management reports
• 4 years Stakeholder management
• 4 years Multiple project management
• 4 years Automation of large data sets
• 3 years Knowledge of writing SQL queries on Oracle data warehouses
• 5 years Data analysis tools such as Advanced MS Excel, SPSS, STATA, R.
• 5 years Data analysis in AB testing, conjoint analysis, pricing i.e. range ladders, elasticities and conjoint analysis