Data Analytics and Insights Lead - KFC

Leveraging your expertise in data analysis and insights, you will work closely with cross-functional teams to identify trends, optimize digital performance, and deliver actionable recommendations that enhance the overall customer experience. This role plays a vital role in driving business growth and customer satisfaction by transforming raw data into valuable insights.

• Centralised Data-Driven Decision Making
• Data Architecture & Modelling
• Data Governance
• Data Management & Services
• Data Reporting 

Working closely with new project implementations to reach the business goal of 100% Digital by 2026 which includes the following eCom landscape:

• Own Channel Delivery: Orders captured through the owned web, app or chat, whether the last mile is serviced through the owned or 3P fleet
• Aggregator Delivery: Orders captured and delivered through aggregators
• Channel Click and Collect: Order captured through the owned web, app or chat; picked up in restaurants, drive-thru, curbside, etc
• Kiosk
• Drive Thru: Drive Thru with unique customer identifier capture or dynamic DMB offering personalization/upsell, or voice AI on the speaker box
• Front Counter:  With unique customer identifier capture

Key Responsibilities

• Data analysis and insights:
  • Gather and analyze data from various digital channels, including website traffic, mobile apps, social media, and online ordering platforms
  • Utilize data analysis tools and techniques to identify trends, patterns, and opportunities for improvement
  • Provide regular reports and dashboards on key performance indicators (KPIs) to stakeholders and management
• Customer behavior analysis:
  • Analyze customer behavior on digital platforms to gain insights into user preferences, engagement patterns, and pain points
  • Collaborate with the marketing and product teams to understand customer segments, data funnelling, data architecture, current data tools and assets as well as customer personalisation needs
• A/B testing and optimization:
  • Plan, execute, and analyse A/B tests to optimize digital assets, user flows, and customer journeys
  • Provide recommendations based on test results to enhance user experience and drive conversion
• Digital campaign performance:
  • Plan, execute, and analyse A/B tests to optimize digital assets, user flows, and customer journeys
  • Provide recommendations based on test results to enhance user experience and drive conversion
• Website and app performance:
  • Monitor and analyze website and app performance, including page load times, navigation patterns, and user interactions
  • Identify opportunities for site/app improvements to increase user engagement and conversion rate
• Data visualization and reporting:
  • Create clear and compelling visualizations to communicate complex data insights to non-technical stakeholders
  • Prepare and present reports to management, providing actionable recommendations for digital strategy
• Data governance and quality:
  • Ensure data integrity and accuracy by collaborating with IT teams on data governance and quality control processes.
• Competitive analysis:
  • Conduct competitive analysis to understand industry trends and benchmarks, providing insights to stay ahead in the market.

Stakeholders

• All Key ideas and core decisions to be consulted with the CDIO, however on a day to day basis the interaction could include KFC Africa Staff, Senior management and Leadership; Franchisees; Product Manager; Operations Manager/Specialist; Delivery Excellence Manager; BI Manager; Marketing team; IT team, H/W and S/W vendors, Technology/Digital vendors; Yum!/YRI global teams; Digital and Marketing Agencies
• Nature of communication - Business and Partner Alignment, delivery management

Working Model

• Work from home is possible however 70% should be on site as we stabilise the teams 

Requirements:

Experience

• A minimum of 8 years of experience in digital data analytics, preferably in the Retail, Food Service, or related industries

Knowledge, Skills and Competencies

• proficiency in data analysis tools such as Python, R, SQL, or similar
• data visualization tools like Tableau, Power BI, or Google Data Studio
• Strong analytical mindset with the ability to interpret complex data sets and draw actionable insights
• Familiarity with web analytics tools such as Google Analytics or Adobe Analytics
• Knowledge of digital marketing channels and performance metrics
• Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical audiences
• Strong problem-solving skills and a proactive approach to tackling challenges
• Ability to work collaboratively in a cross-functional environment and manage multiple projects simultaneously
• Design Thinking
• Agile
• Scrum
• Innovation
• Data Solution Architecture
• Project Management
• Data Engineering / Data Science