WHY BYTE RESTAURANT COACH
Byte Restaurant Coach is a best-in-class application that optimizes restaurant operations and creates the best jobs. We are proud to be part of Yum! Brands & Digital Technology, a company with over 55,000 restaurants across more than 150 countries and territories, under its leading worldwide restaurant brands – KFC, Pizza Hut, Taco Bell, and The Habit Burger Grill.
Byte Restaurant Coach is an all-in-one mobile platform specifically designed for streamlined restaurant operations. It's packed with a range of tools tailored to the needs of restaurant managers and staff, enabling them to efficiently manage daily tasks, benefit from data-driven suggestions, get timely operational prompts, and stay updated with an interactive activity feed.
The innovative edge of the Byte Restaurant Coach lies in its 'brain layer'—an advanced recommendation engine that compiles data through different operational data sources. This engine employs machine learning to offer smart insights, thereby enhancing the decision-making process and restaurant operations.
Our team operates globally with offices in the UK, Dubai, and US, as we are now installed in over 31,000+ restaurants worldwide.
THE OPPORTUNITY
We are seeking a highly skilled and proactive Data Analytics Engineer to join our growing data team. In this role, you will be instrumental in transforming raw data into actionable insights, driving data-informed decision-making across the organization. We are seeking an individual who brings strategic thinking and proactive initiative, rather than simply executing tasks.
RESPONSIBILITIES
- End-to-End BI Solution Development: Design, develop, and maintain robust Business Intelligence (BI) reports and dashboards. This includes frequent development of semantic models, ETL processes for data transformation, creating compelling data visualizations, and continuously optimizing ETL flows for efficiency and performance.
- Data Engineering & Programming Expertise: Leverage big data ETL platforms e.g Informatica and programming languages (Python, Scala or equivalent) to build scalable and efficient data pipelines.
- Strategic Data Storytelling: Leverage strong analytical and critical thinking skills to translate business questions into measurable metrics, insightful visualizations, and compelling data-driven narratives. You will conduct various forms of analysis, including descriptive, correlation, and predictive analysis to identify trends, patterns, and actionable insights from complex datasets. You will be expected to present your findings clearly and persuasively to diverse stakeholders.
- Independent Project Ownership: Take full ownership of data analytics projects from start to finish. This involves proactively clarifying business requirements, collaborating effectively with cross-functional teams to acquire necessary data, performing ETL for data transformation, validating results, and ultimately delivering high-quality analytical insights. We value independent initiative and a proactive problem-solving approach.
- Continuous Learning & Adaptation: Quickly adapt to and master new BI solutions and ETL tools. We expect you to be a quick learner and comfortable with exploring and implementing new technologies as needed.
- Effective Communication: Communicate complex technical concepts and analytical findings clearly and concisely, both verbally and in writing, to English-speaking stakeholders across all levels of the organization. You will be a key liaison between technical and business teams.
YOUR SKILLS AND EXPERIENCE
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
- 4 to 5 years of experience as a Data Analyst, BI Specialist, BI Developer or similar role, with a strong focus on BI report development and data analysis.
- Proficiency in SQL and ETL tools (e.g Informatica, Airflow, etc.) with proven track record of developing and optimizing ETL processes and creating impactful data visualizations.
- Hands-on experience in designing and maintaining semantic models using YAML or TypeScript
- Solid experience in statistical analysis, machine learning, AI concepts.
- Demonstrated strong analytical and critical thinking skills with the ability to translate business needs into data solutions.
- Exceptional independence and a proactive approach to problem-solving; comfortable taking initiative and driving projects autonomously.
- Excellent written and verbal communication skills in English, with the ability to articulate complex technical concepts to non-technical audiences.
Optional Requirements (nice to have)
- Experience with Google Data Analytics and BigQuery, particularly for analyzing mobile user behavior.
- Practical experience integrating existing AI/ML tools or products into data pipelines or analytical workflows.
- Experience on operational management, food and beverage industry.
WHY YOU'LL LOVE WORKING HERE
Attractive Benefits:
- 100% salary during the probation period.
- Annual Leave: 18 days/year.
- Five “Recharge Days” – Extra days, in addition to company holidays.
- 1 Day off paid leave for your birthday.
- Half-day Fridays.
- Hybrid working policy
- Full salary insurance.
- 13th-month bonus.
- Advanced health insurance (Generali).
- Regular team and engagement activities.
- LinkedIn learning & training courses, based on company policy.
- MacBook and Monitors.
