ZipRecruiter

Log In

1

Data Associate Jobs in Toronto, ON (NOW HIRING)

GEI Consultants

Data Engineer

Concord, ON

CA$90K - CA$150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

GEI Consultants

Data Engineer

Markham, ON

CA$90K - CA$150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

GFL Environmental

Data Engineer

Vaughan, ON · On-site

We are officially hunting for our next Data Engineer in Vaughan, ON-someone ready to bring fresh ... AWS Certified Solutions Architect - Associate or Professional. What We Offer Why join us? We ...

Walmart

Senior, Data Scientist

Mississauga, ON · On-site

CA$91K - CA$126K/yr

This role drives a data-driven culture by leveraging diverse data sources to understand customer ... Walmart will accommodate the disability-related needs of applicants and associates as required by ...

previous pagenext page

Showing results 21-40

All JobsData Associate JobsData Associate Jobs in Toronto, ON

Data Associate information

See Toronto, ON salary details

$13

$22

$33

How much do data associate jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for data associate in Toronto, ON is $22.31, according to ZipRecruiter salary data. Most workers in this role earn between $17.89 and $26.61 per hour, depending on experience, location, and employer.

What is the role of a data associate?

A data associate is responsible for collecting, organizing, and maintaining data within databases or systems. They often verify data accuracy, perform data entry, and support data analysis tasks using tools like Excel or database management software. Attention to detail and strong organizational skills are essential for this role.

Can I be a data analyst with no experience?

Data analyst roles typically require some knowledge of data analysis tools like Excel, SQL, or Python, and understanding of data visualization. While prior experience is often preferred, entry-level positions may be available for candidates with relevant skills, certifications, or coursework. Building a portfolio of projects can also improve chances of securing a data analyst position without formal experience.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What are the top 3 skills for a data analyst?

For a data analyst, key skills include proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software such as R or Python. Strong analytical thinking, attention to detail, and the ability to communicate insights effectively are also essential. Familiarity with data visualization tools like Tableau or Power BI enhances their ability to present findings clearly.

What are Data Associates?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a data associate or transitioning into data science. Many professionals successfully switch careers or start new roles later in life by acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications. Employers value experience and skills over age, and continuous learning can help you stay competitive in the field.

What are the key skills and qualifications needed to thrive as a Data Associate, and why are they important?

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a Data Associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.
What are the most commonly searched types of Data jobs in Toronto, ON? The most popular types of Data jobs in Toronto, ON are:
What are popular job titles related to Data Associate jobs in Toronto, ON? For Data Associate jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Data Associate jobs in Toronto, ON look for? The top searched job categories for Data Associate jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Data Associate jobs? Cities near Toronto, ON with the most Data Associate job openings:
Data Associate jobs near you
Infographic showing various Data Associate job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 93% Physical, 4% Hybrid, and 3% Remote job distribution, with an average salary of $46,396 per year, or $22.3 per hour.

Manager, Data Engineering

Staples Canada ULC

Richmond Hill, ON

Full-time

Medical, Dental

Posted 26 days ago

Job description


Some of what you will do:
The Staples technology team is seeking a talented and energetic Team Manager to lead our Data Engineering team. We want an individual who will challenge the norm, strive to create the best experience's and someone who always puts the customer first. You will have a passion for Data Engineering, Data architecture and a willingness to share learnings within your development team. 


Specifically, You Will:

Manage and Develop Associates (40%)

  • Developing and mentor associates through proper task delegation and active observation and interaction.
  • Evaluates performance of the assigned associates via the performance review process. 
  • Recruit new hires for the team resulting from expansion and/or to backfill due to attrition (voluntary and involuntary) within applications group 
  • With guidance from the Director and HR, address and manage associate performance concerns if required
  • With guidance from the Director, manage 3rd party vendors in the support and development of the applications within the assigned Area. This includes the daily management of consultants and temporary resources who are on contract. 
  • Offer your input and expertise to technical and non-technical audiences
  • Work with technology technical leads and business leadership to define the right technology solutions to solve complex problems
  • Help maintain and improve current applications 
  • Collaborate with team members in an agile environment

Manage the Area's work (60%)

  • Manage and complete the business objectives supported and dependent of the applications within the assigned area. 

  • Manage the assigned associates to ensure the work is completed on schedule, as per the specifications and on budget.

  • Delegate and manage the group's work in a proper and professional manner

  • Escalate issues (tactical and strategic) to the Director in a timely manner

  • Communicate area specific updates to the VP IS and other members of the Executive Team when required 

  • Work in a collaborative, effective and professional manner with his/her peers (other TM's or Managers from other departments and within IS)

  • Ensure the internal processes, procedures, methodologies and technologies utilized within applications are updated, effective and keeping in line with industry best practices

  • Develop process improvements and other initiatives which could lead to cost savings, morale boosting and measurable efficiency improvements within Applications, IS and the Business

  • Implement, stabilize, maintain, upgrade and enhance the suite of applications within their assigned Area 


Some of what you need:

  • Degree in Computer Science or relevant work experience
  • Leadership Experience: 3+ years of management experience in data engineering, with a proven track record of building and leading teams in a fast-paced, growth environment. You have experience shaping new functions and driving change within an organization.
  • Proven Technical Expertise: You have 6+ years of experience in implementing data warehouse architecture standards, processes, and methodologies in data engineering, with hands-on expertise in designing and implementing data pipelines, ETL processes, and data platforms. (Microsoft SQL Server)
  • Deep understanding of design principles of distributed systems with streaming data platform platforms frameworks and technologies 
  • Experience designing and development of DB Systems (Diagrams, Tables, Views, SQL Queries, TSQL/CLR SP, Functions, Replication, Migration and Reporting)
  • Knowledge of PowerBI and Looker Visualization and reporting capabilities
  • Strategic Thinking & Execution: You know how to define a long-term strategy for data infrastructure while also implementing the day-to-day tactical changes needed to make that strategy a reality. You are comfortable balancing strategic vision with hands-on execution.
  • Collaborative Leadership: You are a strong communicator and leader, capable of working with cross-functional teams, including data science, analytics, product, and business stakeholders, to ensure alignment and drive impactful data initiatives. You know how to break down complex technical issues into simple, actionable insights for non-technical teams.
  • Google Cloud Platform (GCP) High Proficiency in GCP services such as Google Cloud Storage, BigQuery, Dataproc, Cloud Data Fusion
     


Some of what you will get:

  • Associate discount
  • Health and Dental benefits
  • RRSP/DPSP
  • Performance bonuses
  • Learning & Development programs
  • And more...
We value transparency in our hiring processes. Please note, artificial intelligence may be used in certain stages to screen, assess, or select applicants, however, a human reviewer makes all final decisions. This posting is for an existing vacancy.
About the Team
At Staples Canada we are dynamic, inspiring partners to our customers and the communities in which we live. As The Working and Learning Company, we inspire people to work smarter, learn more and grow every day. We're looking for curious, approachable, and passionate individuals who love finding solutions. If that's you, let's work, learn, and grow together.

We are building an inclusive and diverse team
Staples Canada is continuously working towards creating an inclusive and diverse work environment. We welcome, value and thrive on perspectives and contributions from backgrounds that vary by race, gender, sexual orientation, gender identity or expression, lifestyle, age, educational background, national origin, religion or physical ability. If you have a disability or special need that requires accommodation, please let us know.

Apply