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Data Analyst Data Science Jobs in Toronto, ON (NOW HIRING)

Data Analyst

Toronto, ON ยท On-site

CA$54K - CA$104K/yr

In addition, the Data Analyst will build and evolve analytical reporting using Power BI, Excel, and SQL. By digging into performance results, identifying key trends, and translating complex data into ...

GCS, Data Analyst

Toronto, ON ยท On-site

CA$90K - CA$157K/yr

Bachelor or above degree in Computer Science or related field. * 3+ years strong experience working as a data analyst, security data analyts, security engineer or on a SOC team. * In-depth ...

Data Scientist

Woodbridge, ON

CA$85K - CA$115K/yr

Data Science and Analytics Location: 6300 Steeles Ave West, Woodbridge Total Potential Compensation: $85,000-$115,000 Position Summary: The successful candidate will assist in leveraging customer ...

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

We are currently seeking a Data Analyst to join the Data Solutions team in the Wealth Technology group at CI Wealth. The Data Solutions team focuses on developing data-driven solutions, driving ...

Data Analyst

Mississauga, ON ยท On-site

CA$75K - CA$90K/yr

You as a Data Analyst will: * Elicit, analyze, specify, and validate the business needs of internal and external stakeholders; * Leverage your: knowledge of statistical/mathematical methods ...

We are seeking a highly analytical and detail-oriented Data Analyst to support better and efficient decision making for the business. This role requires a combination of business acumen, technical ...

You will influence existing and future strategy with your data analysis, insights, and storytelling to deliver strategic recommendations on experimentation and product improvements. We're looking for ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

You have experience in the Retail and Customer Analytics industry. * You have experience with defining strategy/vision for the data science function, aligning it with the overall business strategy.

Key Responsibilities Data Analysis & Mapping * Conduct data profiling to identify quality issues and migration risks. * Define field-level mappings from source schemas to target structures.

Advanced degree in Statistics, Computer science, Behavioural Science or Mathematics preferred * 3+ years of experience analyzing product's data, building AI/ML algorithms or making product focused ...

... for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our Fraud, Losses, and Financial Crime Data Science team builds the models and data ...

Showing results 21-40

Data Analyst Data Science information

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
What job categories do people searching Data Analyst Data Science jobs in Toronto, ON look for? The top searched job categories for Data Analyst Data Science jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Data Analyst Data Science jobs? Cities near Toronto, ON with the most Data Analyst Data Science job openings:
Infographic showing various Data Analyst Data Science job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

CA$54K - CA$104K/yr

Other

Medical, Dental, Life, Retirement

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


Job description

Permanent Full Timeย 

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We are seeking a highly analytical and solutions-oriented Data Analyst to support Workplace Benefits and Retirement.

This role offers the opportunity to work closely with cross-functional teams and our Field Sales and Service partners. The successful candidate will possess a deep curiosity for understanding data, adept at identifying anomalies, investigating discrepancies, and the ability to design and implement efficient data-driven solutions.


In addition, the Data Analyst will build and evolve analytical reporting using Power BI, Excel, and SQL. By digging into performance results, identifying key trends, and translating complex data into clear insights, the role provides the information needed for datadriven action to help move our business grow.

What you will do

  • Analyze, interpret, and validate large data volume to identify trends, inconsistencies, and anomalies
  • Provide technical and functional support on complex compensation programs, support decision-making with sound judgement backed by data, and mentor team
  • Write and optimize SQL queries to support data retrieval and reporting
  • Maintain tools and scripts using VB.NET to support business needs
  • Translate complex datasets into clear, compelling insights and business narratives
  • Work with stakeholders to improve data availability, quality, and drive automation
  • Ensure data accuracy and integrity through validation, reconciliation, and quality checks
  • Help resolve issues, perform analysis, and support application enhancements
  • Document data flows, models, and solutions to ensure sustainability

What you will bring

  • 3+ years of hands-on experience with:
      • Data modeling concepts and tools
      • SQL (query development, optimization)
      • VB.NET
      • Power Automate
      • Power Apps
      • Power BI
  • Excellent communication skills, with the ability to explain technical concepts to non-technical audiences
  • Strong analytical and problem-solving skills with the ability to break down complex problems into manageable components
  • Ability to model, structure, validate, and document complex datasets to support accurate and reliable decisionmaking
  • Experience improving manual operational processes, including the ability to streamline or automate validation workflows
  • Proven experience identifying errors, inconsistencies, and anomalies in data
  • Ability to manage multiple priorities in a fastpaced environment
  • A proactive mindset - you seek to understand the purpose behind requests and consistently look for opportunities to improve processes and outcomes

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The base salary for this position is between $54,700 - $104,700 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.

Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.

Grow with Canada Lifeย 

We'reย united by a shared purpose: to improve the financial,ย physicalย and mental well-beingย of Canadians. Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country.ย ย 

We'reย looking for people who live our values everyday: we step up, we do the right thing, and we deliver - for our customers,ย communitiesย and each other.ย Are you someone who always strives to do the right thing, who steps up for themselves and others, and who delivers with impact? Then we want to hear from you!ย 

What we offer:ย ย 

We're committed to supporting our employees through every stage of their career. Here's what you can expect as a full-time or part-time permanent team member:ย 

  • Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to$2,000 annuallyย towardsย education reimbursement.ย 
  • Health & Wellness:Flexible health and dental benefits,ย plus a $5,000 mental health benefit to support your well-being.ย 
  • Time Off:In addition to regular vacation andย personal days,ย we support communityย involvement with aย volunteer day.ย 
  • Financial Security:Company-matching pension plan,share ownership program andย additionalinvestment options.ย 
  • Rewards and Recognition:ย Employee recognition programs, service milestone celebrations, employee discounts and more!ย ย 
  • Emphasis onย Community:ย We provide aย workplace whereย employeesย feel connected and supported throughย Employee Resource Groups (ERGs),ย mentorshipย programs,ย socialย clubsย andย events.ย ย 

Learn moreย aboutย Canada Life.ย ย 

We'reย committed to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contactย ย talentacquisitioncanada@canadalife.com. All information provided will be handledย in accordance withย applicable laws and Canada Life policies. ย 

Canada Lifewould like to thank all applicants, however only those who qualify for an interview will be contacted.ย 

#LI-Hybridย