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Data Modelling Jobs in Ontario (NOW HIRING)

Excellent data modelling, and data management skills * Strong analytical skills required in identifying problems, validatin gand making recommendations * Strong financial background with excellent ...

Experience in data modelling within a relational database \n * Node experience beneficial \n * Commercial React experience highly desirable (Applications from those with Angular or VueJS will be ...

Senior Data Engineer

Toronto, ON ยท Hybrid

CA$120K - CA$145K/yr

Perform data modelling, data extraction, transformation, and loading (ETL/ELT). * Identify and recommend innovative solutions to enhance data quality and analytics capabilities. Qualifications

Senior Data Engineer

Toronto, ON ยท Hybrid

CA$120K - CA$145K/yr

Perform data modelling, data extraction, transformation, and loading (ETL/ELT). * Identify and recommend innovative solutions to enhance data quality and analytics capabilities. Qualifications

Senior Manager, Data Science

Toronto, ON ยท On-site

CA$120K - CA$150K/yr

Produce, supervise and vet reports and recommendations based on data modelling, advanced analytics and simulations with business impact on Numeris clients. * Support automation projects throughout ...

Apply strong data modelling principles, governance standards and practices that ensure data accuracy, consistency, and security. * Develop and manage DBT transformations using layered architecture ...

Experience in data modelling within a relational database \n * Expert level JavaScript, AJAX, jQuery, JSON and CSS \n * Commercial React experience highly desirable (Applications from those with ...

Solid understanding of data warehousing, data lakehouse architectures, and data modelling concepts-and when to apply each * Proficiency with DevOps/DataOps practices and CI/CD tooling (e.g., GitHub ...

Apply strong knowledge of data modelling and data warehouse concepts to optimise architecture. * Troubleshoot issues during development and testing phases, ensuring smooth deployment of data ...

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Data Modelling information

Will AI replace data modelers?

AI is unlikely to fully replace data modelers, as their role involves complex understanding of business needs, data structures, and design principles that require human judgment. Instead, AI tools can assist data modelers by automating routine tasks and enhancing productivity, allowing them to focus on more strategic aspects of data modeling. Continuous learning and proficiency with data modeling tools remain important for job security in this field.

Is 40 too late for data science?

Data Modelling is a key skill in data science, and age is not a barrier to entering the field. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python. Continuous learning and building a strong portfolio can help overcome age-related concerns in the industry.

How much do data modelers make?

Data modelers typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior data modelers with specialized skills in database design and data warehousing can earn higher salaries, especially with certifications and advanced tools knowledge.

What do you do in data modeling?

A data modeler designs and creates data structures, such as databases and schemas, to organize and store information efficiently. They analyze data requirements, define relationships, and use tools like ER diagrams and modeling software to ensure data integrity and accessibility.

What is the difference between Data Modelling vs Data Analyst?

AspectData ModellingData Analyst
Primary FocusDesigning data structures and schemasAnalyzing data to generate insights
Skills & CertificationsData modeling, database design, SQLData analysis, statistics, Excel, SQL
Work EnvironmentDatabase design teams, data architectureBusiness units, reporting teams
Tools UsedER diagrams, data modeling softwareExcel, BI tools, SQL

Data Modelling focuses on creating the structure and design of data systems, while Data Analysts interpret data to provide actionable insights. Both roles often collaborate but serve different purposes within data management and analysis processes.

What cities in Ontario are hiring for Data Modelling jobs? Cities in Ontario with the most Data Modelling job openings:

Senior Manager, Statistical Modelling & Advanced Analytics

Canadiantirecorporation

Toronto, ON โ€ข On-site

CA$90K/yr

Full-time

Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Job description

What you'll do

You will lead high-impact statistical modelling work that helps shape decisions across retail, customer, and loyalty. This role is ideal for someone who enjoys solving complex business problems with rigorous quantitative methods and translating that work into real business action.

In this role, you will:

  • Lead the design and development of advanced statistical and quantitative models using retail, customer, and loyalty data

  • Apply methods such as forecasting, causal inference, experimentation, predictive modelling, segmentation, optimization, and statistical learning to solve important business problems

  • Partner closely with business leaders to identify where modelling can most improve decision-making, customer outcomes, and financial performance

  • Build models and analytical frameworks that are practical, scalable, and decision-oriented

  • Establish strong standards for model design, validation, monitoring, and measurement

  • Translate complex quantitative work into clear recommendations for senior leaders

  • Help shape the future of modelling and experimentation within the broader analytics organization

  • Coach and develop a team of analysts and data scientists, while remaining close to the work and setting a high bar for technical quality

Why this role is interesting

This is not a generic data science role. It is an opportunity to work on meaningful modelling problems with direct impact on:

  • Customer growth and retention

  • Loyalty performance

  • Promotional effectiveness

  • Forecasting and demand signals

  • Measurement of business initiatives

  • Strategic retail decision-making

You'll have the chance to work with large, complex datasets and influence decisions that matter across the enterprise.

Who you are

You are a strong statistical thinker who enjoys applying quantitative methods to real business problems. You are comfortable moving between technical depth and executive discussion, and you know how to build confidence in your work through rigor, clarity, and practical impact.

You likely bring:

  • Deep curiosity and strong problem-solving ability

  • A strong foundation in statistics, probability, and quantitative modelling

  • Experience working through ambiguity and turning open-ended questions into structured analytical approaches

  • The ability to balance hands-on technical work, coaching, and stakeholder influence

  • Strong judgment on when to use the right level of complexity for the problem

What you bring

  • Graduate degree in Statistics, Mathematics, Econometrics, Economics, Data Science, Computer Science, or another quantitative field

  • PhD is welcome, but not required

  • Significant experience in statistical modelling, advanced analytics, or quantitative decision support

  • Strong command of methods such as:

    • Regression and classification

    • Forecasting / time series

    • Experimental design and measurement

    • Causal inference

    • Statistical learning

    • Model validation and performance assessment

  • Strong coding experience in Python

  • Experience working with large datasets using SQL, Spark, or similar tools

  • Experience in modern data environments such as Databricks, cloud platforms, or distributed computing frameworks

  • Strong communication skills, with the ability to explain technical work clearly to non-technical audiences

  • Experience leading projects, influencing senior stakeholders, and helping others raise the quality of their work

Nice to have

  • Experience in retail, loyalty, consumer, pricing, marketing, or customer analytics

  • Experience with experimentation platforms, uplift modelling, optimization, or decision science

  • Experience building modelling workflows that move beyond analysis into operational use

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

  • Comprehensive benefits and retirement programs

  • Performance incentives, Continuing Education Programs

  • Other perks to support your well-being

  • Career growth opportunities and product discounts

Our typical hiring range is between $90,000.00 and $145,000,00 per annum. 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.

This posting represents an existing vacancy within our organization.


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, 1,700 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.