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Stats Perform Jobs in Ontario (NOW HIRING)

DATA ANALYST & INTEGRATOR

Toronto, ON ยท Hybrid

CA$44.64 - CA$48.88/hr

A/B testing, summary statistics on central tendency, etc.) to ensure high quality analysis. * Performs research on best practices related to data analysis and data visualization. * Contributes to the ...

Plan, implement, and oversee all aspects of the Statistical Process Control program. Conduct audits ... Inspired to perform well by the completion of tasks

Works with large data sets to perform data mining and statistical analyses. Transforms, synthesizes, and cleanses data; identifies opportunities to reduce duplication and errors and ensure data ...

Ownership of statistical reporting to General Insurance Statistical Agency (GISA)/ Groupement des assureurs automobiles (GAA). * Perform regular error analysis to identify user/system issues.

ACCOUNTING ASSISTANT 2

Toronto, ON ยท On-site

CA$42.28 - CA$46.31/hr

Prepares and calculates claims/settlements, ad hoc financial and statistical reports to other municipalities and the Provincial Government * Performs and maintains accounts receivable functions ...

COURT CLERK MONITOR

Toronto, ON ยท On-site

CA$36.77 - CA$40.13/hr

Ensures the recording and transcribing equipment is operational, performs maintenance and repairs, advising the lead or supervisor if additional repairs are required. * Complies statistics, using ...

Perform statistical analysis and apply appropriate statistical methods to best estimate and review North American & Asian Territory bond market benchmarks. * Design and construct creative automated ...

Winter Co-op 2027 - Reporting Analyst

Toronto, ON ยท Hybrid

CA$40K - CA$60K/yr

Perform statistical analysis and apply appropriate statistical methods to best estimate and review North American & Asian Territory bond market benchmarks. * Design and construct creative automated ...

CA$30/hr

... statistical methods. Workshops are 2h or 3h long during the Fall and Winter terms. In the summer ... These functions are of moderatecomplexityand the incumbent performs them using established ...

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Stats Perform information

What is Stats Perform?

Stats Perform is a global sports technology company that specializes in sports data and artificial intelligence (AI). They provide data, analytics, and insights to sports teams, media, and betting companies to enhance performance, fan engagement, and decision-making. Their services include live sports data, predictive analytics, and AI-driven content solutions across various sports. Stats Perform works with leagues, broadcasters, and digital platforms to deliver real-time data and innovative sports experiences.

How does a role at Stats Perform typically collaborate with data scientists and product teams to deliver sports analytics solutions?

At Stats Perform, professionals frequently work in cross-functional teams alongside data scientists, engineers, and product managers to develop and refine sports analytics products. Collaboration often involves regular meetings to discuss project requirements, share insights from data, and iterate on models or features based on feedback. Team members must communicate complex statistical findings in an accessible way to inform product development and ensure solutions meet the needs of clients, such as broadcasters, teams, or betting operators. This collaborative environment encourages ongoing learning and the chance to contribute to innovative, high-impact analytics projects.

What are the key skills and qualifications needed to thrive as a sports data analyst at Stats Perform, and why are they important?

To thrive as a Sports Data Analyst at Stats Perform, you need strong analytical skills, statistical knowledge, and experience with data analysis, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with technical tools such as Python, R, SQL, and sports analytics platforms is essential, along with experience in data visualization software. Exceptional attention to detail, communication, and problem-solving abilities help analysts interpret data and share actionable insights with stakeholders. These skills ensure the accurate delivery of data-driven insights that inform strategy and enhance sports performance analysis.

What is the difference between Stats Perform vs Data Analyst?

AspectStats PerformData Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with sports data and analyticsDegree in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentSports analytics companies, media, and broadcasting firmsVarious industries including finance, marketing, healthcare, and sports
Employer & Industry UsageSpecialized in sports data and performance analyticsBroadly used across multiple sectors for data-driven decision making
Common Search & ComparisonOften compared for sports analytics rolesCompared for general data analysis roles

Stats Perform specializes in sports data and analytics, focusing on performance insights for sports organizations and media. Data Analysts have a broader scope, working across various industries to interpret data and support decision-making. While both roles require similar technical skills and educational backgrounds, Stats Perform roles are industry-specific, whereas Data Analysts work in diverse sectors.

What are popular job titles related to Stats Perform jobs in Ontario?

For Stats Perform jobs in Ontario, the most frequently searched job titles are:

Infographic showing various Stats Perform job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 3% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Data Scientist, Statistics and Modelling - 2 Year Contract

Canadiantirecorporation

Toronto, ON โ€ข On-site

$32.82/hr

Full-time

Retirement

Re-posted 16 days ago


Key responsibilities

  • Design and deliver analytical measurement frameworks, perform advanced statistical models, and develop causal inference frameworks.

  • Construct, validate, and analyze predictive, statistical, causal, and machine learning models to improve customer engagement and marketing performance.

  • Collaborate with cross-functional teams to generate insights, develop test designs, and improve business practices through data analysis.


Job description

Number of Role Openings: 2

We are seeking a results-oriented data science professional who can support retail, loyalty, and customer analytics. The primary focus of this position is to design and deliver analytical measurement frameworks, perform advanced statistical models, build causal inference frameworks, and perform customer and program analytics. The data scientist will perform analytics in support of customer engagement, loyalty program optimization, and marketing program efficiency. Models, analytics, and insights developed will help achieve the strategic goals of our Retail organization. Strong background in statistics, causal models and experimental design preferred.

What you'll do

  • Develop a deep understanding of our Retail business, Loyalty, Store Operations, and Marketing programs.

  • Build comprehensive market, store and user-level test designs with explicit success criteria.

  • Research statistical methodology to aid in protocol development (study design and sample size calculation) and analyses planning.

  • Collaborate in cross-functional teams to generate insights and test measurement frameworks that improve business practices and generate measurable business value.

  • Construct and improve predictive models to reduce test costs and improve result confidence

  • Validate, analyze and investigate test data from multiple perspectives to weave compelling fact-based narratives

  • Develop statistical, causal, and machine learning models to improve customer engagement and marketing program performance.

  • Act as an active contributor to the analytics strategy within the Advanced Analytics team.

What you bring

  • M.S or PhD, preferably in Statistics/Math/Economics or a related quantitative discipline.

  • 3+ years experience developing and implementing data science solutions. Experience in retail businesses, or loyalty programs preferred.

  • Proficiency in using industry standard programming languages, including Python, R, or SAS.

  • 3+ years of experience querying and analyzing large datasets with tools such as SQL, Spark, etc.

  • Demonstrated understanding of statistical techniques to programmatically select (and justify) the right approach given specific business problems and data/technology constraints.

  • Familiarity with cloud-based data structures, including tools to extract, manipulate and transform data within the cloud. Experience with Databricks and Azure Synapse is an asset.

  • 3+ years interpreting, synthesizing, and presenting complex models and analyses to business partners.

  • Excellent oral and written communication skills, with the ability to communicate both technical and business concepts, as well as strong presentation skills.

  • Demonstrated ability to work independently with minimal supervision, effectively navigating and resolving ambiguous problems and situations.

We're always looking for great talent! In addition to competitive pay, we offer:

  • Career growth opportunities and product discounts

Our typical hiring range is between $32.82 per hour and $54.34 per hour. Salary decisions are also dependent on other factors such as your experience, job-related knowledge, skills and competencies, market location, industry benchmarks, internal equity and other role-specific requirements. We're committed to attracting top talent. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role. #LI-AG2


We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.


About Us


Canadian Tire Corporation, Limited ("CTC") is one of Canada's most admired and trusted companies.With more than 90 Owned Brands, over 1,600 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here.


Our Commitment to Diversity, Inclusion and Belonging


We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.


Accommodations


We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.