Manager, Digital Applied Analytics

About the role

This role leads the Digital Customer Data & Analytics team, reporting to the Director of Digital Customer Data & Analytics, and will manage 3–4 direct reports. It is a highly technical leadership position requiring recent, hands-on experience in data engineering practices, infrastructure design, and advanced analytics.

Responsibilities

• Lead the Digital Customer Data & Analytics team, managing 3–4 direct reports.
• Own the development and execution of impactful deliverables with data-driven insights that inform strategic decision-making across creative, technical, and business stakeholders.
• Explore, scope, perform discovery, build, and implement new and current data models for baseline reporting and direct application of data model outputs to digital pillars.
• Work closely and knowledgeably with data engineers to pipe data and data science teams to build data models, along with cross-functional partners to design domain-specific analytics frameworks.
• Ensure high data accuracy across all data platforms through regular data audits across all data sources and be able to knowledgeably discover, document, and ensure completion of outstanding data issues.
• Support best-practice A/B testing and experimentation with a clear understanding of complex statistical concepts and methodologies (Bonferroni, Bayesian, etc.).
• Personally perform technical analytics utilizing SQL/Python at an expert level proficiency.
• Understand UAT/PVT methodologies and best practices to ensure proper governance, taxonomy, and implementation on digital platforms.

Requirements

• Bachelor’s/Master’s degree in technical field (Math, STEM, Economics, Statistics, etc.)
• 8+ years of analytics experience, preferably with a focus on app/web or ecommerce data.
• 6+ years of hands-on experience designing, building, and applying various data models (multi-touch attribution, mixed marketing, churn, etc.).
• 8+ years of hands-on experience with SQL (expert proficiency).
• 5+ years of hands-on experience with Python (intermediate proficiency).
• Strong understanding of data architecture design, data pipelines, and data storage.
• Strong understanding of data validation and QA both on digital platforms and within a database.
• High proficiency in experimentation setup and readouts for A/B, multivariate experimentation.
• Prior experience with digital platforms a huge plus (e.g. Amplitude, Mixpanel, Braze, Salesforce, GA4).

Qualifications

• Bachelor’s/Master’s degree in technical field (Math, STEM, Economics, Statistics, etc.)
• 8+ years of analytics experience, preferably with a focus on app/web or ecommerce data.
• 6+ years of hands-on experience designing, building, and applying various data models (multi-touch attribution, mixed marketing, churn, etc.).
• 8+ years of hands-on experience with SQL (expert proficiency).
• 5+ years of hands-on experience with Python (intermediate proficiency).
• Strong understanding of data architecture design, data pipelines, and data storage.
• Strong understanding of data validation and QA both on digital platforms and within a database.
• High proficiency in experimentation setup and readouts for A/B, multivariate experimentation.
• Prior experience with digital platforms a huge plus (e.g. Amplitude, Mixpanel, Braze, Salesforce, GA4).

Skills

• Expert-level SQL proficiency
• Intermediate Python skills
• Exposure to ML/AI

Benefits

• Hybrid work schedule (onsite expectation Tues, Wed, Thurs)
• Year-round flex day Friday
• Onsite childcare through Bright Horizons
• Onsite dining center and game room (yes, there is a Taco Bell inside the building)
• Onsite dry cleaning, laundry services, carwash, Onsite gym with fitness classes and personal trainer sessions
• Up to 4 weeks of vacation per year plus holidays and time off for volunteering
• Generous parental leave for all new parents and adoption assistance program
• 401(k) with a 6% matching contribution from Yum! Brands with immediate vesting
• Comprehensive medical & dental including prescription drug benefits and 100% preventive care
• Discounts, free food, swag and… honestly, too many good benefits to name

Pay

Salary range: $162,000 - $205,400 + bonus eligibility