Sr. Analyst,Analytics Job Toronto area,Ontario Canada,IT/Tech

Position: Sr. Analyst, People Analytics

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.

Restaurant Brands International Inc. 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.

We’re looking for a Sr. Analyst, People Analytics to support high-impact analytics and reporting across RBI’s People function. This role is highly hands-on and ideal for someone who enjoys building dashboards, working directly in data, and translating analysis into clear insights for leaders.

You’ll partner closely with the Sr. Manager, People Analytics to execute analytics projects across the employee lifecycle, support executive and leadership reporting, and help improve how data flows across our HR systems. This role does not have people management responsibilities, but it plays a critical role in delivering the work that leaders rely on.

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 Miami, FL or Toronto, ON
.

Role and Responsibilities:

Build, maintain, and support the implementation of dashboards, metrics, and data visualizations that enable talent, engagement, and workforce decision-making

Create recurring leadership reports and executive summaries with a strong focus on accuracy, clarity, and usability

Use Python and SQL as core tools to automate reporting, clean and transform data, and support advanced analytics

Analyze engagement survey results and other employee data to identify trends, risks, and opportunities

Execute end-to-end analytics work, from data extraction and transformation through final insights and visualizations

Translate complex analytics into clear visuals and written summaries that highlight key takeaways and implications

Run predictive modeling, statistical analysis, and ad hoc analytics

Contribute to data-driven process design projects by analyzing current-state data and measuring outcomes post-launch

Support Workday reporting as needed, including troubleshooting, validation, and partnering with HR Tech

Coordinate data integrations and quality checks with One Model, Workday, and other HR systems

Coach and support teammates on Python usage, automation approaches, and analytics best practices

Contribute to data quality standards, documentation, and repeatable analytics processes

Qualifications and Skills:

2+ years of experience in People Analytics, HR Analytics, or a related analytics role

Bachelor’s degree in Analytics, Statistics, Business, or a related field

Strong proficiency in Python is required, including experience with data analysis, automation, and modeling

Proficiency in Python is required, as you'll work hands-on to automate and scale analytics tools.

Working knowledge of SQL and relational data structures

Experience building dashboards and visualizations in tools such as One Model, Power BI, Tableau, or similar

Familiarity with Workday reporting or HRIS data;
Workday Report Writer experience is a strong plus

Comfort working with large datasets and improving data quality over time

Strong attention to detail and pride in producing accurate, well-documented work

Ability to explain data clearly to non-technical audiences through visuals and…


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Job Posting Language

Sr. Analyst, Analytics