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A leading fast-food chain in Toronto is seeking a Manager of Marketing Data Analytics. This role involves leveraging analytics to guide decision-making and transform marketing strategies for one of the largest QSR brands worldwide. The ideal candidate will have a Bachelor’s in a relevant field and 2-6 years of experience in analytics. Responsibilities include evaluating marketing performance, creating forecasts, and mentoring colleagues. The company offers competitive compensation, insurance plans, and tuition reimbursement among other benefits.
Manager, Marketing Data Analytics
Region: Toronto, Canada
Ready for a fresh, new career? Look no further because one of the world’s most iconic brands can help you get there.
At Subway, “better” is baked into our DNA. We are a brand that believes in continued improvement … in our lives, our businesses, and our planet. From the handshake that started our very first sandwich shop to earning our position as one of the world’s leading restaurant brands, we’ve always embraced change and the path ahead. And today, we're making better living way easier.
Our purpose is about more than the food we serve in our restaurants. It’s centered on fueling healthy businesses and healthier lives. It is one of the most exciting times to join the Subway team and contribute to our transformational journey.
We have an exciting opportunity to support our Marketing Analytics team as a Manager, Marketing Data Analytics based in Toronto, Canada. The Mgr-Marketing Analytics role will leverage data and analytics to drive the transformation of one of the largest QSR brands in the world. Reporting into the Canadian Analytics team, our goal is to use both data and strategic thinking to uncover insights, guide decision‑making, and drive overall performance. This role is best suited for someone who thrives in a fast paced setting, has a natural curiosity to learn, and loves to collaborate to creatively solve problems with data.
Actual pay is determined based on a number of job‑related factors including skills, education, training, credentials, qualifications, scope and complexity of role responsibilities, geographic location, performance, and working conditions.