Senior Operations Analytics & AI Insights Lead

Burger King; Town of Florida (NY); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Global paid parental leave

Telemedicine & mental wellness support

Job summary

Restaurant Brands International (RBI) is seeking a Sr. Analyst, Operations Analytics to drive data‑driven improvements in restaurant performance, efficiency, and guest experience.

You will analyze key metrics, build reporting tools, and partner across Operations, Brand Standards, Finance, and Marketing to translate data into actionable insights. The role emphasizes SQL, Python, Snowflake, AI tooling, and hands-on optimization of analytical workflows in a fast-paced environment.

Qualifications

• 3+ years of experience in an analytical role within Operations, Marketing, Finance, Business Analytics, or a related function.
• Bachelor's degree in Business, Data Science, Statistics, Finance, Analytics, or a related field.
• Strong SQL skills and experience working with cloud data warehouses; Snowflake experience preferred.
• Proficiency in Python for data analysis and automation, including independently writing and debugging scripts; Streamlit or similar experience is a plus.
• Hands-on experience using AI tools such as ChatGPT, Claude, or Gemini for analytical workflows, coding, automation, and productivity, with a strong approach to validating AI-generated outputs.
• Experience programmatically applying large language models to analyze, classify, summarize, or structure data is a plus.
• Familiarity with experimental design and statistical analysis, including control groups, sample sizing, and assessing statistical significance.
• Strong data storytelling skills, including creating executive-ready Excel, PowerPoint, and analytical deliverables.
• Strong analytical and business judgment with the ability to translate complex data into actionable insights and recommendations.
• Self-directed and intellectually curious, with a demonstrated ability to quickly learn and apply new tools and technologies.
• Strong communication, organization, and cross-functional collaboration skills, with the ability to manage multiple priorities in a fast-paced environment.

Responsibilities

• Analyze restaurant-level operational metrics to identify performance trends, opportunities, and areas of underperformance.
• Conduct root cause analyses to understand performance gaps and develop data-driven recommendations.
• Design and evaluate market tests and operational pilots, with test/control group construction and sample sizing.
• Build, maintain, and enhance reporting tools in Snowflake and Python, including internal applications and automated reporting.
• Prepare recurring performance reporting on key metrics and support ad hoc analyses for senior leadership.
• Propose and implement improvements that remove manual, repetitive, or error-prone work using Python, Snowflake, and AI tooling.
• Document and share working approaches so improvements compound across the team.
• Investigate data discrepancies and partner with RBI’s data teams to resolve upstream problems.
• Own data quality for team reporting: onboard and validate new data sources and vendor feeds.
• Partner cross-functionally with Operations, Brand Standards, Brand Execution, Field Execution, Training, Marketing, Digital, and Finance, and collaborate with franchisee partners to understand business needs.
• Apply text and sentiment analysis to extract themes from unstructured guest comments at scale.

Skills

SQL

Python

AI tools

Education

Bachelor's degree in Business, Data Science, Statistics, Finance, Analytics, or related field

Tools

Snowflake

Streamlit

Job description

Restaurant Brands International (RBI) is seeking a Sr. Analyst, Operations Analytics to drive data‑driven improvements in restaurant performance, efficiency, and guest experience.

You will analyze key metrics, build reporting tools, and partner across Operations, Brand Standards, Finance, and Marketing to translate data into actionable insights. The role emphasizes SQL, Python, Snowflake, AI tooling, and hands-on optimization of analytical workflows in a fast-paced environment.