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Data Associate Jobs in Ontario (NOW HIRING)

Role Summary Reporting to the Director, AI Strategy and Data Platforms, as the Associate Director, Data Platforms, your primary accountability is to operationalize and evolve the enterprise data ...

The Manager, Data Analyst supports the Canadian Technology Data Engineering team by delivering ... Demonstrates and encourages respect for others; drives a positive associate and customer experience ...

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 ...

Data Engineer

Guelph, 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 ...

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 ...

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 ...

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 ...

Showing results 21-40

Data Associate information

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 Ontario? The most popular types of Data jobs in Ontario are:
What job categories do people searching Data Associate jobs in Ontario look for? The top searched job categories for Data Associate jobs in Ontario are:
What cities in Ontario are hiring for Data Associate jobs? Cities in Ontario with the most Data Associate job openings:
Infographic showing various Data Associate job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.

Associate Director, Data Platforms

Omers

Toronto, ON • On-site

Full-time

Retirement

Posted 19 days ago


Job description

Choose a workplace that empowers your impact.

Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be - and deliver - your best.

We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 665,000 members, placing their best interests at the heart of everything we do.

Join us to accelerate your growth & development, prioritize wellness, build connections, and support the communities where we live and work.

Don't just work anywhere - come build tomorrow together with us.

Know someone at OMERS or Oxford Properties? Great! If you're referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

Role Summary

Reporting to the Director, AI Strategy and Data Platforms, as the Associate Director, Data Platforms, your primary accountability is to operationalize and evolve the enterprise data platform strategy. You will act as the technical and strategic authority across our core platforms: Microsoft Fabric, Snowflake, and Databricks. Bridging the gap between high-level business needs and deep technical architecture, you will shape the long-term vision and interoperability of our data platform ecosystem, build cross-platform enablers, and partner with business units (Investments, Oxford, Pensions, and Corporate Functions) to ensure we are maximizing the value of the data platform landscape.

Key Responsibilities

  • Drive the strategic alignment and technical execution of the OMERS multi-platform data ecosystem, heavily prioritizing Microsoft Fabric and Snowflake as core platforms, alongside Databricks for advanced analytics and ML workloads.

  • Partner with technical and business stakeholders to translate business demand into required data capabilities and ensure our data platform ecosystem is providing exceptional value to all business units.

  • Collaborate with the Enterprise Architecture team to define and standardize cross-platform architectural patterns, including standard ingestion and landing zones, shared semantic layers, and cross-platform data sharing via zero-copy federation.

  • Collaborate with enterprise transformation initiatives to ensure the data platform rollout and capabilities are fit-for-purpose.

  • Lead efforts to close gaps in a multi-platform environment by integrating cross-platform pipeline orchestration

  • Collaborate with the Value Management, Risk & Governance team and enterprise data governance, observability, and cataloging tools.

  • Collaborate with teams across D&T to ensure that our data platform capabilities are aligned with our AI strategy and roadmap.

  • Act as a deep technical subject matter expert, getting hands-on when necessary to validate architectures, troubleshoot complex integration challenges, and transition data concepts into robust production environments.

  • Monitor industry trends across the modern data stack to continuously refine and enhance the data platform strategy and stack.

Qualifications

  • 7+ years of progressive experience in data engineering, data architecture, or data platform strategy roles, with a proven track record of driving technical transformations.

  • 5+ years of hands-on technical experience designing, deploying, and optimizing modern cloud data platforms, with deep expertise inMicrosoft Fabric(Azure Data Factory, ADLS, Power BI) andSnowflake.

  • 4+ years of experience leading and developing high-performing technical teams, with a demonstrated ability to scale capabilities and deliver complex initiative

  • Strong technical proficiency inDatabricks, specifically regarding its positioning for MLflow, advanced analytics, and unified lakehouse architectures.

  • Deep understanding of enterprise data concepts, including data pipelines, data refineries/warehousing, cross-platform data sharing, and semantic metrics management.

  • Experience integrating data platforms with overarching data management and governance tooling (e.g., Collibra, Informatica) and modern workflow orchestration (e.g., Prefect).

  • Prior experience in financial services, particularly within capital markets, private markets, or pensions, is considered a strong asset.

  • Excellent capability to balance big-picture strategic thinking with the technical depth required to challenge and guide engineering teams.

  • Exceptional communication and executive stakeholder engagement skills, with a proven ability to translate complex architectural trade-offs into clear business outcomes.

  • Ability to thrive in a fast-paced environment and lead cross-functional initiatives without always relying on direct reporting lines.

We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. In delivering on our pension promise, keeping us connected to our work and each other,our flexible hybrid work guideline requires teams to come in to the office 4 days per week.

This posting is for an existing vacancy.The expected salary range for this position is $138,000 -188,000 per year.

You may also be eligible to receive an annual Incentive Award pursuant to our Short-term Incentive plan and our Long-Term Incentive plan (if applicable), and to participate in our group benefits and retirement plans - details on these elements of compensation are included within OMERS & Oxford offer letters.

As one of Canada's largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities where we live and work - and the members we proudly serve.

From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

Artificial intelligence (AI) tools are used to support certain stages of the OMERS recruitment process. While AI assists us in our process, human judgment and decision-making remain central to our candidate experience.