Analytics Manager

at  Kitopi

Kitopi is the world’s leading tech-powered multi-brand restaurant. With a mission to satisfy the world’s appetite, Kitopi operates a portfolio of both invested and franchised F&B brands, serving as enablers in the food market by helping brands to grow and scale, both in the delivery and dine-in space.
Launched in Dubai, UAE in January 2018, Kitopi has grown to become one of the greatest success stories in the cloud kitchen and food tech space. In July 2021, Kitopi announced its $415 million Series C funding round, led by the world’s largest technology-focused investment fund, Softbank Group Corp’s Vision Fund 2. This investment catapulted Kitopi to the prestigious Unicorn status, making it the fastest Unicorn to have emerged from the MENA region.
As a leading food-tech business, Kitopi’s growth has been largely fueled by its innovative and scalable software solutions. Kitopi’s kitchens are powered by its proprietary Smart Kitchen Operating System (SKOS) - an in-house suite of applications that optimizes cloud kitchen operations in real-time. As part of its growth roadmap, technological innovation, data science, artificial intelligence, and robotics will take center stage as Kitopi continues to reinvent the food industry as we know it today.
With over 4,000 employees, Kitopi currently operates 200+ locations across the UAE, KSA, Kuwait, Bahrain, and Qatar, and runs its engineering hub in Krakow, Poland, its robotics hub in Denmark, and its global customer experience center in Dubai, UAE.
Together with the Product, Engineering, Data, AI, and Robotic departments, we are creating various applications starting from highly personalized selling apps (web & mobile), through the kitchen management system, customer service, delivery, control, and business applications which help us to make decisions and determine the further direction of product development and more. We currently have around 40 applications in microservice architecture and we will constantly be creating new ones.
At Kitopi, we partner closely with business and product stakeholders to enable data-driven decision-making. Our data organization is structured into data verticals that focus on specific business domains, supporting all reporting and analytical needs within those areas. Each vertical is empowered with data analysts, data engineers, BI specialists, platform engineers, and ML engineers as required. Data verticals of similar domains are grouped to form a cluster. As an analytics manager, you will be responsible for leading our operations data cluster and collaborating with cross-functional teams to drive business success.

• Team Leadership: Leading, managing, and developing a high-performance team, including daily tasks, weekly milestone planning, one-on-one meetings, quarterly objectives, and bi-annual performance evaluations
• Strategic Leadership: Demonstrates exceptional strategic thinking skills, anticipates future trends and opportunities, drives innovation through data, and provides visionary guidance to shape the organization’s analytics roadmap.
• Data Vision: Supports and contributes to the team’s leadership in defining and operationalizing the processes and initiatives supporting the data vision.
• Collaboration: Establish close and productive professional relationships with business and product partners. Contribute to weekly meetings to align on the cluster and vertical priorities and challenges, lead/support updates, provide guidance on the best practices.
• Communication: Communicate effectively with stakeholders and cross functional leaders through asking questions, seeking clarifications, pitching ideas, and providing clear status updates. Facilitate negotiations and problem-solving through effective conversations.
• Domain Knowledge: Develop a deep understanding of the domains in which the team operates, including hands-on experience with the data, metrics calculation, data quality issues and underlying business processes as well as software products supporting these.
• Project Management: Lead complex, cross-functional and/or cross-domain data projects involving multiple stakeholders and dependencies. Supervise and communicate progress, resolve issues, allocate resources and mitigate risks.
• Documentation: Contribute to data documentation by ensuring all projects are documented and continuously updating the knowledge base with relevant information.
• Analysis and Synthesis: Support data analysts in their analysis and synthesis, reviewing their work, and suggesting new ideas.
• Presentation and Influence: Prepare presentations for stakeholders and leadership, effectively explain technical concepts in a simple and concise manner and mentor analysts to effectively present their work. Use analytical insights to positively influence decision management.
• Feedback: Accept and provide objective and constructive feedback, promoting a culture of open communication, growth, and trust within the team.
• Process Improvement: Continuously identify and improve processes and practices by working with cross-functional teams to implement changes that lead to increased efficiency and productivity.