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Analytics Jobs in Ontario (NOW HIRING)

CIBC

Consultant, Fraud Analytics

Toronto, ON · Hybrid

You will also conduct ongoing data analysis associated with rules management within CIBC's fraud mitigation systems. Thereby, implementing new strategies and continuous improvement to existing ...

BWXT

Workforce Analytics Manager

Ottawa, ON · On-site

The Workforce Analytics Manager leads the planning, analytics, and workforce optimization activities that ensure BWXT has the right people, in the right place, at the right time to meet production ...

Lyft

Analytics Lead, LUS

Toronto, ON

Data and analytics are at the heart of Lyft's products and decision-making. You will play a key role in shaping the future of bikeshare by leveraging data to improve the performance of our bikeshare ...

Optimum

Director Customer Analytics

Toronto, ON · On-site

You'll conduct robust analytics, develop insights and develop presentation and communication materials to share the findings with stakeholders. Responsibilities * Partner with stakeholders to ...

New

Lyft

Analytics Lead, SCC

Toronto, ON

You'll leverage your analytical expertise to deliver actionable insights and recommendations to drive quality business decisions with customer-facing impact. The ideal candidate is a critical thinker ...

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Digital Agriculture Analytics Lead

Toronto, ON

Digital Agriculture Analytics Lead Position Type: Regular - Full-Time Grade: Grade 05 Requisition ID: 41940 In every role, McCainers are ambitious, curious, and passionate about creating exceptional ...

Td

Manager, Advanced Analytics

Toronto, ON · On-site +1

Analytics, Insights, & Artificial Intelligence Pay Details: 96,900 - 136,800 CAD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and ...

Scotiabank

Manager, Analytics and BI

Toronto, ON · On-site

The Manager, Analytics & BI supports acquisition analytics across Credit Card and Unsecured Lending portfolios, with a focus on data-driven insights, performance measurement, and strategic ...

Jj

Analytics and Submissions Associate

Toronto, ON

The Analytics and Submissions Associate is an integral part of the Market Access division that supports patient access to Johnson & Johnson's innovative medicines by coordinating, quality-checking ...

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All JobsAnalytics JobsAnalytics Jobs in Ontario

Analytics information

See Ontario salary details

$33K

$114.1K

$192.5K

How much do analytics jobs pay per year?

As of Aug 13, 2026, the average yearly pay for analytics in Ontario is $114,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $140,000.00 per year, depending on experience, location, and employer.

What is analytics?

Analytics refers to the systematic computational analysis of data or statistics to discover, interpret, and communicate meaningful patterns and trends. Analytics professionals collect, process, and analyze data to help organizations make informed decisions, solve problems, and optimize performance. They may use statistical methods, data visualization, and predictive modeling in various industries such as business, healthcare, finance, and technology. Their work often involves working with large datasets, using specialized software tools, and translating complex findings into actionable insights for decision-makers.

Is data analytics well paid?

Data analytics is generally a well-paid field, with salaries often higher than average for entry-level roles and increasing with experience, skills, and certifications in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but it is considered a lucrative career option for those with strong analytical and technical skills.

How do analytics professionals typically collaborate with other departments to drive business decisions?

Analytics professionals often work closely with departments like marketing, product development, finance, and operations to translate data insights into actionable strategies. They may attend cross-functional meetings, present findings, and help define metrics for success. Collaboration is key, as analytics teams must understand each department’s goals and challenges to provide relevant, impactful analysis. Strong communication skills are essential to ensure data-driven recommendations are clearly understood and implemented by non-technical stakeholders.

What is analytics as a job?

A job in analytics involves collecting, analyzing, and interpreting data to help organizations make informed decisions. Analysts use tools like Excel, SQL, and data visualization software to identify trends and insights. Strong problem-solving skills and attention to detail are essential for success in this role.

What are the key skills and qualifications needed to thrive in analytics?

To thrive in Analytics, you need strong quantitative skills, proficiency in data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI—as well as relevant certifications—are commonly required. Critical thinking, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills are crucial for extracting meaningful information from data, driving informed decisions, and delivering measurable value to organizations.

What is the difference between Analytics vs Data Analyst?

AspectAnalyticsData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; certifications like Google Data AnalyticsDegree in data science, statistics, or related; similar certifications
Work EnvironmentBusiness intelligence teams, data departments, consulting firmsCorporate, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed across industries for strategic insightsCommonly employed for data interpretation and reporting
Search & Comparison IntentUnderstanding roles, skills, and career paths in analyticsClarifying job responsibilities and skills of data analysts

Analytics and Data Analysts often work closely but focus on different aspects. Analytics involves broader strategic analysis and decision-making, while Data Analysts focus on interpreting data and creating reports. Both roles require similar skills and credentials, but their scope and responsibilities differ based on organizational needs.

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

The most popular types of Analytics jobs in Ontario are:

What are popular job titles related to Analytics jobs in Ontario?

For Analytics jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Analytics jobs in Ontario look for?

The top searched job categories for Analytics jobs in Ontario are:

Analytics jobs near you
Infographic showing various Analytics job openings in Ontario as of August 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 100% In-person job distribution, with an average salary of $114,139 per year, or $54.9 per hour.

Consultant, Fraud Analytics

CIBC

Toronto, ON • Hybrid

Full-time

Retirement

Re-posted 2 days ago

Job description

We're building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what's right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What you'll be doing

As a Consultant, Fraud Analytics, you will independently design and perform moderately complex statistical analysis using advanced analytical techniques and data mining tools to deliver fraud monitoring, detection and prevention solutions by using SAS, SQL and/or Python. Predictive modeling include complex statistical concepts/theories and predictions including optimization, neural nets, logistic regression, decision trees, random forest and sampling. You will also conduct ongoing data analysis associated with rules management within CIBC's fraud mitigation systems. Thereby, implementing new strategies and continuous improvement to existing strategies, associated with fraud monitoring systems, in order to mitigate fraud losses and decrease customer impacts/irritants. You will also collaborate with internal and external stakeholders to ensure successful deployment of fraud solutions across the bank's ecosystem.

At CIBC, we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

How you'll succeed

  • Analytical Thinking- Improve fraud monitoring by creatively responding to fraud trends and mitigating risk surrounding new operational processes. Guide strategy by providing evidence basedanalytical solutions.Conduct considerably complex feasibility studies and cost/benefit analysis to clearly depict possible fraud mitigation rule options and recommended courses of action.

  • Data Management-Creationand maintenance of SAS, SQL, and Python programs to access a decision support data repository.Database management/querying, and computer programming/software expertise.

  • Communication Skills -Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, interpretation, and assessment.

Who you are

  • You give meaning to data.You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way.You have experience usingSAS EG, SAS Miner, Tableau and/or SQL.

  • Youhave a degree/diploma in analytics, statistics, mathematics, computer science or business management related field. Master's level degree would be an asset.

  • You demonstrate 5+ years of analytical experience in data science related roles or extensive analytical background related to fraud or risk management.

  • You love to learn.You're passionate about growing your knowledge, and you know that there is no limit to what you can achieve.You are current in new modelingand analytical techniques and constantly seek to improve your knowledge in this field.

  • You look beyond the moment.You make decisions and take actions that will make a difference today and tomorrow. You proactively seek new opportunities to define what's possible.You are curious and proactive, you constantly offer new solutions based on sound analysis.

  • Values matter to you.You bring your real self to work and you live our values - trust, teamwork and accountability.

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

  • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

  • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

  • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

What you need to know

  • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

  • CIBC is committed to clarity in our hiring process. All roles posted are opportunities we're actively recruiting for, unless stated otherwise.

  • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

  • We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).

  • We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

Toronto-750 Law Ave. W., E4

Employment Type

Regular

Weekly Hours

37.5

Skills

Analytical Thinking, Fraud Analysis, Fraud Investigations, Fraud Management, Group Problem Solving, Process Improvements, Reporting and Analysis

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