Manager, Operations Analytics, Burger King

Restaurant Brands International•Miami, FL

5d•Onsite

About The Position

The Manager, Operations Analytics owns the analytics agenda for Burger King, driving restaurant performance, operational efficiency, and the guest experience. The role sets direction for how operational performance is measured, diagnosed, and improved, and delivers analytics projects end to end—from defining the problem through executive recommendations, implementation, and measuring business impact. The Manager prioritizes operational initiatives, establishes analytical standards, and partners with senior leaders across Operations, Marketing, Digital, Finance, and Training, as well as franchisee partners. The role turns complex data into actionable decisions, informs operational strategy with evidence, and develops AI-enabled analytics capabilities. This position has no direct people-management responsibilities. The role is based in RBI’s Miami, Florida office and follows a five-day, in-office work schedule.

Requirements

At least 4 years of experience in an analytical role with executive visibility and measurable business impact.
Bachelor’s degree in Business, Data Science, Statistics, Finance, Analytics, or a related technical field.
Hands-on experience building analytics tools with AI, such as LLM-based workflows, AI-assisted coding, or BI-platform development; ability to explain 2–3 real examples of processes or tools built.
Ability to critically evaluate AI output, including accuracy checks and data guardrails.
Experience influencing peers and senior stakeholders without direct reports; strong communication skills and ability to translate complex analysis into clear recommendations for executive audiences.
Advanced SQL proficiency.
Working knowledge of BI and data visualization concepts.
Experience with UI and UX design for analytics tools, dashboards, or internal apps, including usability testing with users.
Experience designing and interpreting pilots, experiments, and impact evaluations, including net-of-control comparisons, statistical significance, and pre/post analysis that accounts for confounding factors.
Advanced proficiency in Microsoft Excel and PowerPoint.
Ability to prioritize concurrent initiatives, manage trade-offs, and communicate status and risk clearly to leadership.
Self-directed learning mindset and a track record of adopting new tools or techniques and rolling them out to colleagues; candidates should be able to describe something recently self-taught and how it changed colleagues’ work.

Nice To Haves

Snowflake-specific experience.
Experience with Tableau, Power BI, Alteryx, or similar platforms.
Exposure to building web applications in React.

Responsibilities

Own end-to-end analytics projects for priority operational initiatives, from problem scoping and success metrics to recommendations and post-implementation results.
Build analytics tools using AI, including LLM-based workflows, AI-assisted SQL and Python coding, and BI-platform AI features, to automate recurring reporting and enable self-service answers.
Evaluate AI and automation tools against real workflows, establish guardrails for AI-assisted analysis, and create team playbooks, prompts, and review standards.
Lead analytical evaluations of test markets, pilots, and operational initiatives, including impact methodologies and go/no-go recommendations for leadership.
Conduct root cause analysis across Guest Satisfaction, Speed of Service, Brand Audits, Training Completions, and other KPIs; apply AI-based sentiment analysis to guest feedback and turn findings into prioritized interventions with owners and timelines.
Set the analytics strategy, roadmap, and operating model; balance recurring reporting, ad hoc requests, and strategic projects using capacity and business impact, with clear intake, service levels, and prioritization.
Lead executive communications and cross-functional alignment, developing leadership presentations and aligning internal teams and franchisee partners on shared metrics and initiatives.
Set data quality and governance standards for operational reporting, collaborate with RBI data teams on certified metrics, and oversee dashboards and analytical tools with clear documentation and reuse.
Serve as analytical lead on priority projects by setting methodology and quality standards and reviewing analysis for rigor.