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Insurance Data Analytics Jobs in Ontario (NOW HIRING)

As part of TD Insurance's Data, Analytics & Insights (DAI) team, the Fraud Analytics & Insights Analyst plays a critical role in transforming data into actionable intelligence that strengthens fraud ...

As part of TD Insurance's Data, Analytics & Insights (DAI) team, the Fraud Analytics & Insights Analyst plays a critical role in transforming data into actionable intelligence that strengthens fraud ...

Use data collection systems, data analytics and other strategies that optimize statistical ... Life and long-term disability insurance, * MyBenefit Cafeteria system, * Multisport Card, * Social ...

You'll help banks, asset management and insurance organizations own their future by helping them to ... Data Integration & Engineering: * Work closely with Data Engineering teams to ensure the ...

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

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Showing results 1-20

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 Jun 15, 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 the Insurance Data Analytics position, and why are they important?

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?

Insurance Data Analytics involves analyzing large datasets to assess risk, set premiums, detect fraud, and improve underwriting accuracy. Data analysts in this field use statistical tools and machine learning techniques to inform decision-making and optimize insurance operations.

What does a data analyst do in insurance?

An insurance data analyst collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

Is 40 too late for data science?

For an Insurance Data Analytics role, starting a career in data science at age 40 is feasible, as the field values skills, experience, and continuous learning over age. Many professionals transition into data analytics later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python, often through online courses or certifications.

Is AI replacing data analysts?

Insurance Data Analysts use AI tools to enhance data processing and insights, but AI is not replacing the role entirely. Instead, it automates routine tasks, allowing analysts to focus on complex analysis, strategy, and decision-making that require human judgment and domain expertise.

What is an Insurance Data Analytics job?

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:
Infographic showing various Insurance Data Analytics job openings in Ontario as of June 2026, with employment types broken down into 91% Full Time, 1% Part Time, 1% Temporary, and 7% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $82,200 per year, or $39.5 per hour.

CA$65K - CA$87K/yr

Other

Medical, Dental, Life, Retirement

Posted 14 days ago


Job description

Permanent Full Time 

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Canada Life is seeking a highly skilled Data Analyst to join the Insurance Solutions team. As a part of the Performance Management area, this role will be responsible for supporting the data management, analysis, and reporting needs of the department. The Data Analyst supports decision-making, monitors business performance, and provides actionable insights using analytics and visualizations tailored to different audiences.

The role will benefit from collaboration with subject matter experts and data scientists. If you are looking to become a subject matter expert in connected data and help guide the team in improving processes through data mining and analysis, this is the role for you.

What you will do

Build, implement, and maintain data models, custom reports, and dashboards, keeping in mind the needs of varied audiences
Create visually compelling presentations and use strong communication skills to present them to stakeholders (ability to build a narrative that outlines the background and highlights the impact of initiatives)
Identify opportunities to ingest data, prioritize data needs, and build data marts to drive efficiencies in reporting functions
Leverage data expertise to support new initiatives through analysis and ongoing reporting across the entire analytics lifecycle
Communicate requirements to the Technology team for development and ensure smooth deployment of data projects after performing data quality testing
Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet business needs
Support existing data owners in their data management practices, ensuring a single source of truth
Work with large datasets that may be inconsistent, unclean, or not fully modeled
Ensure best practices are followed with respect to data governance and structure
Communicate effectively while demonstrating critical thinking and business acumen

What you will bring

2+ years of relevant experience and a university or college degree in a related field of study, or an equivalent combination of education and experience
Experience working with raw data and manipulating large datasets
Proficiency in Excel, Power BI, data modelling, and Databricks, with experience creating interactive dashboards
Ability to work with diverse data inputs and build data marts aligned with business requirements
Proven ability to learn quickly, work independently, and manage multiple priorities in a fast-paced environment
Ability to work with little to no documentation or instructions
Strong attention to detail, with the ability to produce high-quality outputs under tight timelines
Driven to continuously improve processes, performance, and efficiency
Knowledge of the organization, distribution channels, products, systems, and data is an asset
Ability to write complex SQL queries to extract and integrate data from multiple sources
Proficiency in scripting languages such as Python or R
Hands-on experience with Azure compute services and a good understanding of Azure Data Factory pipelines (nice to have)
Preferred: Microsoft Certified - Azure Data Analyst Associate (Power BI) certification

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The base salary for this position is between $65,800 - $87,700 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 Life 

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

We're looking for people who live our values everyday: we step up, we do the right thing, and we deliver - for our customers, communities and each other. 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! 

What we offer:  

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: 

  • Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to$2,000 annually towards education reimbursement. 
  • Health & Wellness:Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being. 
  • Time Off:In addition to regular vacation and personal days, we support community involvement with a volunteer day. 
  • Financial Security:Company-matching pension plan,share ownership program and additionalinvestment options. 
  • Rewards and Recognition: Employee recognition programs, service milestone celebrations, employee discounts and more!  
  • Emphasis on Community: We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.  

Learn more about Canada Life.  

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

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

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