Digital Data Analyst Jobs (NOW HIRING)

We are in search of an experienced data & analytics mind to help drive Pizza Hut's digital analytics and technology platform supporting our A/B testing program and merchandising product teams. The successful candidate will play a critical role in analyzing A/B tests to drive data-driven decision-making and optimize our products and services. This position will own analyses and integration projects from beginning to end, including opportunity identification, problem scoping, analysis framing / execution, and dashboarding results to project stakeholders and internal leadership.  As a member of the Pizza Hut Digital Analytics group, you will be a core part of the team that is driving forward data and technology-based decision making in on our digital footprint around the world.

Our ideal candidate has a breadth of analytics experience, strong technical skills, an evolving understanding of common technologies, and is capable of decomposing complex problems into addressable components or digestible analyses while maintaining a keen eye on the relevant business objective(s); their core responsibilities include but are not exclusive to:

• Perform statistical analysis to evaluate test results, including significance testing and confidence interval calculations.
• Build and maintain dashboards reporting the health of our ecommerce experiences
• Work directly with product teams to help identify and prioritize opportunities to improve our digital ordering process
• Support our A/B testing processes with analytics
• Build presentations explaining conclusions from analytics and present results to stakeholders

• 4+ years of experience in analytics

• Strong experience with programming language such as SQL, Python, R, etc. to perform statistical analysis

• Exceptional knowledge of at least one commonly applied BI tool (Tableau, Power BI, Domo, etc)
• 2+  years of experience using Google or Adobe Analytics to drive insight and support product teams
• Familiarity with AB testing platforms and tools (e.g., Optimizely, Google Optimize)
• Exceptional advocacy and consensus building skills to drive adoption of data driven initiatives
• Excellent communication skills with a track record of effectively communicating technical subjects clearly and concisely
• Experience in analytics w/ focus on performance-driven marketing, e-commerce, or agency/consulting organization

• Desire to learn new analytics toolkits and techniques as shown through self-study or coursework

Preferred

• Experience in analytics w/ focus on performance-driven marketing, e-commerce, or agency/consulting organization

• Desire to learn new analytics toolkits and techniques as shown through self-study or coursework

Salary Range: $99,400 -$115,800 annually + bonus eligibility. This is the expected salary range for this position. Ultimately, in determining pay, we'll consider the successful candidate's location, experience, and other job-related factors.

• 4+ years of experience in analytics

• Strong experience with programming language such as SQL, Python, R, etc. to perform statistical analysis

• Exceptional knowledge of at least one commonly applied BI tool (Tableau, Power BI, Domo, etc)
• 2+  years of experience using Google or Adobe Analytics to drive insight and support product teams
• Familiarity with AB testing platforms and tools (e.g., Optimizely, Google Optimize)
• Exceptional advocacy and consensus building skills to drive adoption of data driven initiatives
• Excellent communication skills with a track record of effectively communicating technical subjects clearly and concisely
• Experience in analytics w/ focus on performance-driven marketing, e-commerce, or agency/consulting organization

• Desire to learn new analytics toolkits and techniques as shown through self-study or coursework

Preferred

• Experience in analytics w/ focus on performance-driven marketing, e-commerce, or agency/consulting organization

• Desire to learn new analytics toolkits and techniques as shown through self-study or coursework

Benefits: Employees (and their eligible family members) may enroll in the following types of insurance coverage: medical, dental, vision, legal, and accidental death and dismemberment, as well as FSA/HSA (depending on enrolled medical plan). Yum! also provides short-term disability, long-term disability, and life insurance. Employees may enroll in our 401(k) plan. Yum! provides 4 weeks of vacation, paid sick leave, 10 paid holidays, a floating day off, half day Fridays year-round and 2 paid days for volunteer time each calendar year. To learn more about working at Yum! -Click here. 

At Yum!, one of our core values is to Believe in ALL People. This means seeing the value in everyone and unlocking their full potential to be their best self. YUM! Brands, Inc. (including its subsidiaries Yum Restaurant Services Group, LLC ("YRSG") and Yum Connect, LLC ("Yum Digital and Technology")(collectively, "Yum") is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity.  We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic. Yum! is committed to working with and providing reasonable accommodation to applicants with disabilities or special needs.

US Job Seekers/Employees - Click here to view the "Know Your Rights" poster and supplement and the Pay Transparency Policy Statement.

• Anticipate the upcoming trends and business demands to propose impactful analysis
• Provide timely and accurate digital analytics to the business stakeholder, engineering and design team and the wider leadership team
• Build, update and maintain analytics reports to present this data to wider teams when requested
• Create visualizations that are intuitive, bringing to light the most relevant information to users for decision support
• Develop and maintain code extracted from multiple data sources to create new data models for reporting, dashboarding, and analysis
• Understand the process, data structure and tools across the organization and seek improvement and simplification - automation.
• Understand the business strategy and implement changes to the tools and reporting to provide scalable and timely insights to enable data driven decisions.