Sr. Data Analyst I at Yum!
Ho Chi Minh City, , Vietnam -
Full Time


Start Date

Immediate

Expiry Date

22 Jul, 26

Salary

0.0

Posted On

23 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data analysis, SQL, BI tools, Domo, Power BI, Tableau, Data warehousing, Data modeling, Product analytics, Correlation analysis, Impact analysis, Trend analysis, Critical thinking, Machine learning, AI concepts, Stakeholder management

Industry

Restaurants

Description
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, and US, as we are now installed in over 31,000+ restaurants worldwide. We are looking for a Senior Data Analyst who can transform large-scale operational data into clear insights, actionable recommendations, and scalable data products that directly improve restaurant performance. This role sits at the intersection of analytics, data modeling, and business impact — focused on turning data into decisions, not just reports.
Responsibilities
Transform large-scale operational data into clear insights, actionable recommendations, and scalable data products to improve restaurant performance. Drive decision-making processes by bridging the gap between analytics, data modeling, and business impact.
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