Manager, Marketing Business Intelligence, Tim Hortons, US

Restaurant Brands International•Miami, FL

1d•Onsite

About The Position

Restaurant Brands International Inc. (RBI) is seeking a Manager, Business Intelligence to build and own the data foundation for the Tim Hortons US Marketing Analytics team. This role involves managing certified datasets, defining metrics, monitoring data quality, and creating reusable workflows for analyzing sales, pricing, guests, and media. The position serves as a technical liaison between Marketing Analytics and Data Engineering, translating analyst needs into technical specifications and productionizing datasets. Additionally, the role will lead practical AI adoption within the team, exploring and integrating tools like Claude and ChatGPT to enhance productivity and reporting. This is a hands-on individual contributor role reporting to the Senior Manager, Marketing Analytics, with a focus on building foundational data infrastructure rather than primary analysis.

Requirements

4+ years of experience in business intelligence, analytics, or engineering support.
Bachelor's degree in Business Analytics, Statistics, Data Science, Engineering, or a related field, or equivalent relevant experience.
Hands-on experience with SQL and cloud data warehousing (Snowflake experience required).
Experience building and maintaining dashboards in Tableau, Sigma, Power BI or HTML.
Demonstrated practical experience using AI tools to improve business or analytics workflows.
Advanced SQL and data modeling skills; comfortable owning pipelines end-to-end.
Ability to translate business and analytical requirements into technical specifications and automated workflows.
Ability to evaluate emerging AI capabilities and identify useful applications.
Strong prompting skills and judgment in reviewing AI-generated outputs.
A proactive approach to identifying improvements and bringing recommendations through testing and adoption.
Clear communicator, able to work with both technical (engineering) and non-technical (marketing) stakeholders.
Self-starter who can prioritize across multiple requests in a fast-paced environment.
Ownership mindset toward data reliability, quality, and documentation.

Nice To Haves

Relevant BI platform or applied AI training and certifications.
dbt experience.
Experience evaluating or configuring AI integrations or workflow orchestration and Python and/or R.
Experience in QSR, food & beverage, retail, or other consumer-facing industries.

Responsibilities

Build and maintain SQL-based datasets/tables in Snowflake, including transformation logic, testing, and documentation, to support performance analysis, sales forecasting, pricing, and guest intelligence.
Support the creation of dashboards and recurring reports using platforms like Tableau, Sigma, Power BI, or custom HTMLs to track sales, traffic, guest metrics, pricing, and media KPIs.
Maintain the underlying infrastructure and accessibility for Marketing Analytics data products (e.g., pricing database, ticket data, customer loyalty segmentation) in collaboration with the Senior Manager and cross-functional partners.
Integrate data and algorithms from internal systems and third-party vendors (POS, loyalty, media, syndicated data) into a consistent, analytics-ready data layer.
Translate requests from Marketing Analytics and cross-functional marketing teams into clear reporting requirements and practical BI solutions.
Act as the day-to-day contact with Data Engineering/IT for reporting and data access needs, documenting business requirements, translating needs into technical specifications, and coordinating priorities.
Partner with Marketing Analytics and cross-functional marketing teams to translate reporting needs into automated, scalable tools and solutions.
Assist the marketing team and stakeholders in effectively using dashboards, reporting tools, and AI capabilities.
Stay current on AI tools like Claude and ChatGPT, recommending practical applications to improve productivity and reporting quality.
Pilot and introduce approved AI tools and reusable workflows, validate outputs for accuracy, and support adoption through demonstrations, training, and documentation.
Ensure consistent data definitions, reporting, and application of business logic across all tools used and developed by Marketing Analytics.
Organize and maintain a catalog of dashboards, reporting resources, AI workflows, data dictionaries, and data source documentation (e.g., using Confluence, GitHub).
Establish data quality checks, validation rules, and alerts for reporting tools and data.
Own the troubleshooting and resolution of data/reporting issues, coordinating with data owners or technology partners as needed.