Finance Data Analyst

Kitopi is a creator of magical food experiences—we discover, create, and curate homegrown brands from the region, for the region.
With a purpose to satisfy the world’s appetite to create joy, Kitopi owns and operates a diverse portfolio of over 200+ brands. These brands are either created, discovered, or curated with their customers in mind.
Launched in Dubai, UAE, in January 2018, Kitopi has grown to become one of the greatest success stories in the food tech space. By July 2021, Kitopi achieved Unicorn status, becoming the fastest company in the MENA region to reach this milestone.
Kitopi’s growth has been 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 and remain the leading food company in the region.
With over 6,000 employees, Kitopi currently operates 200+ locations across the UAE, KSA, Kuwait, Bahrain, and Qatar. It also operates its Customer Experience Center in Amman, Jordan, and its Engineering Hub in Krakow, Poland.
Job Summary:
We are looking for a skilled Data Analyst to join the analytics team and drive key analytics initiatives across product and experience, as well as business and operational performance reporting. The role collaborates closely with Product, Operations, CX, Growth, and Finance teams to transform raw data into scalable dashboards, actionable insights, and automated reporting solutions.
This position requires strong analytical capabilities, data manipulation proficiency, hands-on Power BI expertise, and a solid understanding of data engineering fundamentals including data pipelines, data quality, data modeling, and warehouse architecture.

What You'll Do
Product & Business Analytics Lead analytics initiatives across sales funnels, customer journeys, A/B test evaluations, retention and conversion metrics, customer behavior insights, and marketing campaign performance. Partner with business stakeholders to define tracking requirements, establish success metrics, and ensure accurate measurement of business KPIs. Dashboards, Reporting & Performance Analytics Build and maintain dashboards and reporting models that cover sales trends, brand performance, customer acquisition, demand patterns, productivity metrics, and overall operational performance. Conduct deep-dive analysis to uncover growth drivers, identify opportunity gaps, and generate meaningful insights that enhance customer experience and business decision-making. Data Modeling & Engineering Collaboration Collaborate closely with Data Engineering to design clean data models, transformations, and scalable structures that support analytics and reporting needs. Define and prioritize requirements for new data pipelines, data quality enhancements, and performance monitoring of data models. Demonstrate strong understanding of warehouse architecture, including schemas, modeling principles, and best practices for building reliable, scalable data solutions. Power BI Development & Self-Service Analytics Own the end-to-end development of interactive Power BI dashboards and reports, including semantic models, DAX measures, and optimized dataflows. Manage data governance within dashboards, including access control, refresh schedules, and automated reporting processes. Enable self-service analytics by training stakeholders, improving data literacy, and ensuring teams can independently access trusted insights. Support the Operational Excellence team with ad-hoc reporting and analytical deep dives as needed. Reporting, Insights & Stakeholder Management Prepare clear analytical narratives, reports, and presentations for business stakeholders. Translate complex data findings into actionable insights and recommendations. Support CX, Operations, Finance, and Commercial teams with on-demand and automated reporting.
Technical Skills Advanced SQL expertise, with the ability to write complex queries, optimize joins, and work effectively with relational data models (dimensions, facts, star schemas). Strong Power BI capability across Desktop and Service, including data modeling, DAX, semantic models, dataflows, and dashboard performance optimization. Experience connecting and integrating multiple data sources, such as Excel, JSON, CSV, SQL databases, SharePoint, and APIs. Solid understanding of data engineering fundamentals, including ETL/ELT processes, pipeline structures, data quality management, and schema design. Knowledge of business system functionalities and data capture points, ensuring accurate interpretation and use of source data. Ability to maintain and govern external definition tables and lookup tables, ensuring consistency and reliability across reporting and analytics. Python familiarity (pandas, NumPy) for analytical automation is beneficial but not mandatory. Understanding of forecasting concepts, including trends, seasonality, and projection techniques. Strong Excel skills, including Power Query, pivot tables, and advanced data manipulation.
Analytical Skills Strong ability to translate business questions into well-structured data models, analytical frameworks, and actionable insights. Proven experience in designing new KPIs and building scalable semantic models that enable consistent, reliable reporting. Skilled in identifying trends, patterns, and anomalies across large datasets to uncover root causes and growth opportunities. Experienced in conducting deep-dive analysis that support strategic decisions across product, operations, and customer experience.
Business & Soft Skills Clear and effective communicator, capable of simplifying complex insights for both non-technical teams and senior leadership. Strong critical-thinking and problem-solving abilities, with a structured approach to analyzing issues and driving solutions. Skilled at managing multiple stakeholders, balancing priorities, and delivering high-quality outputs under time pressure. Thrives in fast-paced, high-growth environments, adapting quickly to evolving business needs and analytical requirements.
Preferred Qualifications 2–5 years of experience in Data Analytics, BI, or similar analytical roles. Background in F&B, e-commerce, delivery platforms, or customer experience analytics is an advantage. Bachelor’s degree in engineering, Computer Science, Data Science, Statistics, or a related domain. Power BI certifications or similar BI credentials are preferred.

Recruitment Process and TimelineFirst, you apply, and our talent attraction team will review your profile. If your profile matches our requirements, you will receive a link to schedule a meeting with a recruiter at your convenience. This meeting is an opportunity for you to share more about yourself and for us to get to know you better.
If you are shortlisted, you will meet with our hiring managers. Depending on the role and its requirements, you may need to attend 2-3 interview rounds. These rounds could include a case study, role-play, trial assignment, or live coding session, which will be communicated to you in the initial conversation.
Upon successful completion of the interview rounds, your recruiter will contact you to discuss the offer. We aim to complete this process within 2-3 weeks.
So, what does it really mean to work at Kitopi?We are constantly striving to make Kitopi the best place to work, by empowering you to be the best version of yourself every day. Our company values act as our guiding principles to help ensure that everyone feels safe, included, and like they truly belong.
Kitopi is an equal-opportunity employer. While we currently operate in 6 countries, we are over 70 different nationalities of talented Kitopians. Whether you are a seasoned professional, a recent graduate, or someone looking to return to the workforce after a break, we encourage you to apply. We celebrate rich diverse backgrounds, lifestyles, and cultures and have a 0-tolerance policy towards racism, bigotry, and hate. Please apply if you see a position that makes your heart skip a beat and help us build a company that we are all proud to work for.
Customer-obsessed and tech-enabled, at Kitopi, we are a team of passionate humans who are on a mission together to satisfy the world’s appetite.

Why This Role Is a Great Opportunity

Joining Kitopi as a Finance Data Analyst is a remarkable opportunity to immerse yourself in the dynamic and ever-evolving food tech industry. At Kitopi, you'll be part of a pioneering team that is transforming the way culinary experiences are delivered across the region. The company's rapid growth and innovative spirit mean that your contributions will directly impact the success of over 200+ brands, giving you a front-row seat to industry-leading strategies and practices.

As a Finance Data Analyst, you will have the chance to hone your data analysis skills while working with advanced technologies and methodologies. Kitopi's commitment to professional development ensures that you will have access to continuous learning opportunities, mentorship, and career advancement paths. The food tech sector is on the rise, making this role both relevant and future-proof, providing you with the expertise to thrive in various data-driven roles across industries.

Key Skills You Need to Succeed

• Python: Essential for data manipulation and analysis, Python allows you to automate tasks and enhance your productivity.
• SQL: Mastery of SQL is crucial for querying large datasets and extracting valuable insights to drive business decisions.
• Data Science: A strong foundation in data science principles will enable you to tackle complex problems and generate actionable insights.
• Pandas and NumPy: These libraries are fundamental for efficient data manipulation and numerical computations.
• Power BI: Proficiency in Power BI allows you to create compelling visualizations and dashboards that effectively communicate data-driven narratives.
• API Integration: Understanding API integration is key for connecting diverse data sources and enhancing data accessibility.
• Excel: Excel remains a vital tool for managing and analyzing data, making familiarity with its advanced features indispensable.

Tips to Get Hired for This Role

To stand out as a candidate for the Finance Data Analyst position at Kitopi, begin by tailoring your resume to highlight relevant skills such as Python programming, SQL proficiency, and experience with data visualization tools like Power BI. Be sure to emphasize any past projects or achievements that demonstrate your ability to derive insights from complex datasets.

During the interview process, prepare to discuss your problem-solving approach and how you have used data to drive business outcomes in previous roles. Highlight your adaptability and eagerness to learn, as Kitopi values continuous improvement and innovation. Additionally, familiarize yourself with Kitopi’s mission and values, as aligning with the company's culture will be advantageous.

Finally, consider creating a portfolio of your work to showcase your data analysis capabilities and creative solutions. This tangible evidence of your skills will reinforce your application and leave a lasting impression on the hiring team.