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Insurance Data Analytics Jobs in Ontario (NOW HIRING)

Definity Financial

Specialist, Data

Toronto, ON · Hybrid

CA$59K - CA$108K/yr

Actively contributes to the design of new and innovative data products for Commercial Insurance. * Analyze and evaluate new data sources based on business requirements. * Facilitate and participate ...

Definity Financial

Senior Specialist, Data

Toronto, ON · Hybrid

CA$92K - CA$142K/yr

Actively contribute to the design of new and innovative data products for Commercial Insurance. Analyze and evaluate new data sources based on current and future business requirements. * Facilitate ...

Lyft

Data Analyst, People Analytics

Toronto, ON

The People Analytics team at Lyft exists to build data trust - turning people data into clear ... Extended health and dental coverage options, along with life insurance and disability benefits

State Street Global Advisors

GCS, Data Analyst

Toronto, ON · On-site

CA$90K - CA$157K/yr

Previous experience in analytics, quickly generating insights from various security data sources ... company match; insurance coverage including basic life, medical, dental, vision, long-term ...

Ci

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

We are seeking experienced Data Analysts to support a large-scale data migration and integration ... insurance coverage, wellness programs, life and disability insurance, retirement savings plans ...

Clarivate

Healthcare Research & Data Analyst

Toronto, ON · Hybrid

CA$54K - CA$68K/yr

Bachelor's degree with a concentration in sciences, healthcare, data analytics, or business ... drug, life insurance, 401k with match, long term disability coverage, vacation, sick time ...

Futuretek

Data Analyst

Toronto, ON · Hybrid

Data Analyst Are you passionate about creating immersive and cutting-edge online applications? Do ... Benefits including extended healthcare, dental care, vision care, and disability insurance * On ...

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Showing results 21-40

All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Ontario

Insurance Data Analytics information

See Ontario salary details

$21K

$82.2K

$169.5K

How much do insurance data analytics jobs pay per year?

As of Aug 8, 2026, the average yearly pay for insurance data analytics in Ontario is $82,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $117,000.00 per year, depending on experience, location, and employer.

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

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in insurance data analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

What is insurance data analytics?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the most commonly searched types of Insurance Data Analytics jobs in Ontario? The most popular types of Insurance Data Analytics jobs in Ontario are:
What are popular job titles related to Insurance Data Analytics jobs in Ontario? For Insurance Data Analytics jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Ontario look for? The top searched job categories for Insurance Data Analytics jobs in Ontario are:
What cities in Ontario are hiring for Insurance Data Analytics jobs? Cities in Ontario with the most Insurance Data Analytics job openings:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $82,200 per year, or $39.5 per hour.

Specialist, Data

Definity Financial

Toronto, ON • Hybrid

CA$59K - CA$108K/yr

Full-time

Retirement, PTO

Posted 26 days ago

Job description

The Opportunity

The Data Specialist is innovative analytics professional with hands-on expertise in all facets of data product development and a driving passion for turning business challenges and needs into game-changing data products.

What to Expect
 

  • Actively contributes to the design of new and innovative data products for Commercial Insurance.
  • Analyze and evaluate new data sources based on business requirements.
  • Facilitate and participate in user story and requirement elaboration sessions.
  • Contribute to project management activities such as scoping, impact assessments, estimating efforts, and risk mitigation.
  • Work with business and engineering teams on test planning and validation.
  • Ensure data documentation, integrity monitoring, and governance.
  • Keep current on data and analytics tools and best practices.

What You Bring

  • University degree in Computer Science, Actuarial Science, Mathematics, Software Engineering, or equivalent.
  • Minimum 1-3years of experience developing data and analytics products.
  • Experience with SQL and Python skills on cloud platforms.
  • Familiarity with Scala, Java, or C++ is an asset.
  • Experience with insurance processes and data products is an asset.
  • Familiarity with data science, machine learning, data visualization, and geospatial analytics.


Salary Range: $59,000-$$108,600

Actual salary for the role may vary depending on work location of the successful candidate and other factors including but not limited to, skills, education, experience, working conditions and the local labour market.

This position is being posted to fill an existing vacancy.

Interested in this role, but don't meet every requirement? We encourage you to apply! We know from experience that a candidate doesn't need 100% of the qualifications listed to bring incredible value to our team. We're actively seeking diverse backgrounds and perspectives to help us make insurance better. At Definity, inclusion, diversity, and equity aren't just "nice to have" - they're essential to our success. 

What's in it for you?

  • Hybrid work schedule for most roles
  • Company share ownership program
  • Incentive Program - Eligible employees may participate in various incentive plans which are paid out at the discretion of the company and subject to individual and company performance.
  • Pension and savings programs, with company-matched RRSP contributions
  • Paid volunteer days and company matching on charitable donations
  • Educational resources, tuition assistance, and paid time off to study for exams
  • Focus on inclusion with employee groups, support for gender affirmation surgery, access to BIPOC counsellors, access to programs for working parents 
  • Wellness and recognition programs 
  • Discounts on products and services

Go ahead and expect a lot - you deserve it.

It's better here - but don't take our word for it. Definity was named by Great Place to Work as one of the Best Workplaces in Canada for women, for youth, and for inclusion.

Our inclusive work environment welcomes diversity and supports accessibility. If you require accommodation at any time during the recruitment process, please let us know by contacting accessibility@economical.com.

As part of Definity's commitment to reconciliation, we acknowledge that our work, meetings, and travel take place on the lands now known as Canada, and recognize the enduring presence, wisdom, and stewardship of the First Nations, Metis, and Inuit peoples who have long cared for these lands.

Background checks

This role requires successful clearance of background checks (including criminal checks and leadership references).

#LI-Hybrid

Economical is part of Definity, which includes some of Canada's most long-standing and innovative insurance brands, including Economical Insurance, Sonnet Insurance, Family Insurance Solutions, and Petline Insurance. Our ambition is to be one of Canada's leading and most innovative property and casualty insurers. We can't do that without our people, so we embrace and encourage a culture that's collaborative, ambitious, rewarding, and empowering. 

We offer a flexible, hybrid work experience where employees work from the office and virtually depending on the type of work they are doing and who they are working with. Bring your true self and be a part of our journey. It's better here. 

Apply