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Manager, Calendar Analytics & Forecasting

Job in Toronto, Ontario, C6A, Canada
Listing for: Tim Hortons
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 130000 CAD Yearly CAD 100000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: Manager, Calendar Analytics & Forecasting, Tim Hortons
Overview
Ready to make your next big professional move? Join us on our journey to achieve our big dream of building the most loved restaurant brands in the world. RBI is one of the world's largest quick service restaurant companies with nearly $45 billion in annual system-wide sales and over 32,000 restaurants in more than 120 countries and territories. RBI owns four of the world's most prominent and iconic quick service restaurant brands – TIM HORTONS®, BURGER KING®, POPEYES®, and FIREHOUSE SUBS®.

These independently operated brands have been serving their respective guests, franchisees and communities for decades. Through its Restaurant Brands for Good framework, RBI is improving sustainable outcomes related to its food, the planet, and people and communities. RBI is committed to growing the TIM HORTONS®, BURGER KING®, POPEYES® and FIREHOUSE SUBS® brands by leveraging their respective core values, employee and franchisee relationships, and long track records of community support.

Each brand benefits from the global scale and shared best practices that come from ownership by Restaurant Brands International Inc.

Role
Restaurant Brands International is looking for a  Manager, Calendar Analytics & Forecasting, Canada.  Calendar Analytics serves a business-critical role in building Calendar sales and traffic plans that outperform competitors, support our long-term priorities, and drive sustainable growth for the Tim Hortons Canada restaurant business.

Location & Schedule
RBI follows a 5 day, in-office work schedule to support collaboration. Candidates should be comfortable working onsite 5 days per week out of our office in  Toronto, ON .

Responsibilities

Own product-level forecasts for test and national marketing initiatives in assigned categories , improving accuracy rates over time

Use a variety of data, incl. historical performance trends, consumer research, pricing assumptions, and more to build product-level forecasts

Identify, track, and test key assumptions in partnership with Category Management and Demand Planning; gain approval from senior leaders in Marketing and Supply Chain

Track and improve forecast accuracy; identify sources of variances and improve model and processes to improve accuracy, speed and reproducibility

Report on performance of marketing initiatives in assigned categories, identifying root-level drivers to improve understanding

Build and maintain models and dashboards to report weekly performance and month- and promo-end summaries

Analyze performance drivers vs. forecast across the sales formula (guest count and frequency, attachment rate, effective price, etc.) to build and test hypotheses for variance, informing future strategy & forecast improvement opportunities

Partner with Data Engineering, Consumer Insights, Performance Analytics, and other teams to deploy new data to uncover hidden insights

Lead deep-dive analyses  to translate underlying performance into actionable recommendations to improve the plan

Identify trends in routine performance reporting and translate into larger hypotheses to test and build deeper understanding of guest behaviour

Test your hypotheses by using guest- and token-level data to identify how cohorts change their purchase behaviour in response to various factors

Generate recommendations for the Calendar, Category, and Innovation teams, as well as leadership and Restaurant Owner stakeholder groups

Qualifications & Skills

2+ years of relevant experience in product/portfolio strategy and/or analytics, financial modeling, management consulting, or similar;

Strong acumen in data analysis, analytical and quantitative problem solving to form and test hypotheses to reach data-driven recommendations;

Comfortable communicating advanced and complex analytical findings to business users and senior leaders;

Advanced skill in SQL, Microsoft Excel and Power Point

Compensation & Benefits
Base salary range of $100,000 – $130,000 CAD. Base salary for this position may vary based on relevant factors such as experience, education, location, and skills.

This posting is for an existing vacancy.

This position is eligible to participate in the Company’s annual discretionary bonus…
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