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. 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.
ResponsibilitiesEnd-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.
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.
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related quantitative field
- 4 to 5 years of experience as a Data Analyst, BI Specialist, BI Developer or similar role
- Proficiency in SQL
- Experience with ETL tools and platforms (e.g., Informatica, Airflow) and building/optimizing ETL processes
- Programming experience in Python, Scala, or equivalent for data engineering
- Hands-on experience designing and maintaining semantic models using YAML or TypeScript
- Experience developing BI reports, dashboards, and compelling data visualizations
- Solid experience in statistical analysis, machine learning, and AI concepts
- Strong analytical and critical thinking with ability to translate business needs into data solutions
- Excellent written and verbal communication skills in English
- Ability to take independent ownership of projects and proactively drive solutions
- Experience with Google Data Analytics and BigQuery (optional/nice to have)
- Practical experience integrating AI/ML tools or products into data pipelines (optional/nice to have)
- Experience in operational management within the food and beverage industry (optional/nice to have)
Yum! Brands Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Yum! Brands and has not been reviewed or approved by Yum! Brands.
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Leave & Time Off Breadth — Corporate roles include four weeks of vacation, year‑round half‑day Fridays, company holidays, dedicated “Live Well” days, and paid volunteer days. These policies contribute meaningfully to overall compensation value for corporate employees.
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Wellbeing & Lifestyle Benefits — Offerings include free access to mental‑health counselors, onsite/virtual wellness tools, onsite gyms in select offices, and wellbeing discounts. Smoking‑cessation and weight‑management programs further bolster lifestyle support.
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Parental & Family Support — Benefits span family‑planning coverage such as adoption, fertility, and baby‑bonding leave. Corporate materials also note enhanced parental leave for U.S. corporate employees.
Yum! Brands Insights
What We Do
Yum! Brands, Inc., based in Louisville, Kentucky, and its subsidiaries franchise or operate a system of over 55,000 restaurants in more than 155 countries and territories under the Company’s concepts – KFC, Taco Bell, Pizza Hut and the Habit Burger Grill. The Company's KFC, Taco Bell and Pizza Hut brands are global leaders of the chicken, Mexican-style food, and pizza categories, respectively. The Habit Burger Grill is a fast casual restaurant concept specializing in made-to-order chargrilled burgers, sandwiches and more. What makes Yum! a great place to work? It's our people. As the world's largest restaurant company, we invest in people capability so that our global workforce can make the most of their careers. With ongoing opportunities for personal and professional success, we've built a culture that rewards and recognizes great effort while providing the flexibility that is so important to all of us.
