Senior Data Analyst

JOIN OUR TEAM!

Circle K, our mission is simple: to make our customer’s lives a little easier everyday. You may have already stopped for coffee, refueling your car, or eating something on the go. Then, you know what Circle K is. We have grown into a successful global company with over 17,000 stores in 29 countries, serving almost 9 million customers every day. In total, approximately 149,000 people work in our stores and offices.

We make journeys easier by offering fast and friendly service. We care about our people and our communities, and we look for ways to uplift people first. Wherever your journey’s going, we can help you get there. Are you ready to grow your career? Let's grow together!

Senior Data Analyst ________________________________________________________________________________________

Department: Global Data and Analytics

Location
:
On site, 305 Milner Avenue, Suite 400, Toronto

Type of employment: Permanent, Full Time (40 hours)

Reason for posting: Existing Vacancy

Salary: Starting at $78K

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THE ROLE

As a member of the Data & Analytics Team, the Sr. Data Analyst is an everyday partner with multiple departments, including Global Marketing, Category Management, Shared Services & Finance, Global Technology, and Business Unit Leadership. This is a unique opportunity to work on a new, growing team within a large organization.

The Sr. Data Analyst is responsible for delivering analytics projects that drive business results. The ideal candidate should possess the ability to contribute to all aspects of project work, including interpreting business questions and desired outcomes, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables that are suitable for internal and external presentation.

We are looking for an individual who is a proven problem solver with exceptional critical thinking ability. The candidate should have a high sense of curiosity and be comfortable with ambiguity when faced with a difficult challenge. Additionally, the candidate should possess the ability to collaborate with others and simply and effectively communicate complex concepts with a non-technical audience.

WHAT YOU’LL DO

Want to start your career with us? Here's an overview of the main responsibilities of this position:

• Develop and maintain datasets, dashboards, and reports to deliver actionable insights that inform strategic and operational decisions.
• Conduct in-depth analyses in areas such as pricing, promotion, merchandising, and customer behavior to evaluate performance and identify opportunities.
• Communicate complex analytical findings in a clear, concise way to non-technical audiences and business leaders.
• Collaborate with data engineering and other data teams to build and maintain analytic datasets through data querying, cleaning, and transformation.
• Define requirements and test cases to validate data accuracy and ensure consistent data quality across systems.
• Write efficient queries and leverage analytical programming (e.g., SQL, Python, or R) for data preparation and analysis.
• Contribute to analytics documentation, data standards, and process improvements.
• Designs, executes, and interprets A/B tests to drive data-informed decisions and optimize business outcomes
• Mentor junior analysts and share best practices to strengthen the analytics community.
• Follow defined project management processes. Actively participate in project plan development and agile ceremonies (development of backlog, sprint planning, daily standups, retros/reviews) and documentation.
• Leverages GenAI to enhance data insights, including semantic search, summarizing user feedback, and generating automated commentary in dashboards.

WHAT YOU’LL NEED

We want you to join our team! Here's what we're looking for:

Education:

• Bachelor’s degree in Data Analytics, Statistics, Business, Economics, or related field.

Experience:

• 2+ years of experience in analytics, business intelligence, or a related field.

Knowledge and skills:

• Strong SQL or Python skills; experience with data transformation and validation in…