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Data Analytics Jobs in Ontario (NOW HIRING)

A key part of the role is supporting the reporting and analytics needs of the Canadian business by delivering reliable, accessible, and high-quality data solutions * You will monitor and optimize ETL ...

BI Developer, Data & Analytics

Ottawa, ON · Remote

  • Medical

  • Dental

  • Retirement

  • PTO

Job Title BI Developer, Data & Analytics About This Role: Workplace Arrangements : This is a fully remote role! The incumbent may be asked to come onsite to our Ottawa, Ontario Home Office quarterly ...

Working closely with business partners, data engineers, and analytics teams, you will leverage data to uncover opportunities, solve business challenges, and deliver actionable recommendations that ...

Senior Data Analyst

Toronto, ON

  • Medical

  • Retirement

  • PTO

To learn more about who we are visit our website: www.teranet.ca About the Role The Data & Analytics team within the IT Solutions line of business has an ambitious mandate, where we are accountable ...

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

  • Medical

  • Retirement

Leveraging your analytics background, you will support the delivery of digital products for our clients through analytics and reporting solutions that help organizations better understand their data ...

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

  • Medical

  • Retirement

Leveraging your analytics background, you will support the delivery of digital products for our clients through analytics and reporting solutions that help organizations better understand their data ...

Showing results 41-60

Data Analytics information

See Ontario salary details

$43K

$100.9K

$153K

How much do data analytics jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data analytics in Ontario is $100,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What are the most commonly searched types of Data Analytics jobs in Ontario?

The most popular types of Data Analytics jobs in Ontario are:

What cities in Ontario are hiring for Data Analytics jobs?

Cities in Ontario with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $100,887 per year, or $48.5 per hour.

Manager, Data Analytics - Engineering & Platform

Walmart

Mississauga, ON • On-site

Full-time

Re-posted 15 hours ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,421 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary...The Manager, Data Analytics supports the development and implementation of data-driven strategies to optimize business performance. Responsibilities include pricing, promotional strategies, market analysis, web analytics, and reporting, fostering cross-functional collaboration to drive insights and decision-making.What you'll do...

We are seeking a Data Platform Lead to own and manage our GCP/BigQuery infrastructure, serving as the central point of accountability for all reporting and consumption datasets across the organization. This role is responsible for designing, optimizing, and governing our data platform to ensure high-quality, reliable, and performant data assets are available to stakeholders.

The ideal candidate brings strong analytical skills with meticulous attention to detail, ensuring data accuracy, consistency, and integrity across all downstream reporting. They will collaborate with cross-functional teams to define data standards, implement best practices for data modeling and pipeline development, and drive continuous improvement in how we surface insights to the business.

A deep understanding of BigQuery architecture, cost optimization, and data governance principles is essential for success in this role.

The Manager may identify gaps in reporting infrastructure, implement best practices, and introduce automation. Training and supporting other departments in self-service reporting and maintaining vendor relationships for analytics tools are also key responsibilities.
Cross-functional collaboration is essential, working with all business units to ensure alignment and integration of analytics initiatives. The Manager may present data and recommendations to senior leadership and stakeholders, ensuring data-driven decision-making across the organization.
Qualifications

  • GCP and BigQuery architecture expertise
  • Data modeling (dimensional and consumption-layer design)
  • ETL/ELT pipeline development
  • SQL and query performance optimization
  • Cost optimization and resource management in BigQuery
  • Cloud-native data engineering best practices


Leadership Expectations:
Respect the Individual:
Demonstrates and encourages respect for all; builds a high-performing team; seeks, and embraces differences in people, cultures, ideas and experiences; creates a workplace and experiences where all associates feel seen, supported and connected through culture of belonging so associates thrive and perform; drives a positive associate and customer experience for all; identifies, attracts, and retains the best team members.
Creates a discipline and focus around developing talent, through feedback, coaching, mentoring, and developmental opportunities; promotes an environment allowing everyone to bring their best selves to work; empowers associates and partners to act in the best interest of the customer and company; and regularly recognizes others' contributions and accomplishments.
Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates and listens attentively, with energy and positivity to motivate, influence, and inspire commitment and action.
Acts with Integrity:
Maintains and promotes the highest standards of integrity, ethics and compliance; models the Walmart values and leads by example to foster our culture;supports Walmart's goal of becoming a regenerative company by making a positive impact for associates, customers, and the world around us (e.g., creating a sense of belonging, eliminating waste, participating in local giving).
Follows the law, our code of conduct and company policies, and sets expectations for others to do the same; promotes an environment where associates feel comfortable sharing concerns and reinforces our culture of non-retaliation; listens to concerns raised by associates. takes action and encourages others to do the same; holds self and others accountable for achieving results in a way that is consistent with our values.
Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.
Serve our Customers:
Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and acts with an Every Day Low Cost mindset to drive value and Every Day Low Prices for customers.
Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team's strategy.
Strive for Excellence:
Consistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback, asks thoughtful questions, fosters an environment that supports learning, innovation, and learning from mistakes, and intelligent risk-taking; and exhibits resilience in the face of setbacks.
Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.

The pay range for this position is $91900,00 - $126390,00. Pay will be determined based on relevant experience.L'echelle salariale pour ce poste est de 91900,00 a 126390,00. La remuneration sera determinee en fonction de l'experience pertinente.Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Age - 16 or olderPreferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Walmart will accommodate the disability-related needs of applicants and associates as required by law.

Primary Location...

1940 Argentia Rd, Mississauga, ON L5N 1P9, CanadaAre you currently a Walmart associate?Please login to your Workday account and use the Find Jobs report to apply for this job.
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Important Note: To support resume screening, interviews and other candidate evaluations, we may use artificial intelligence-powered tools, including internal or third-party developed automated decision-making tools. For more information, please see Walmart Canada Job Applicant Privacy Notice.


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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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