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Insurance Data Analytics Jobs in Ontario (NOW HIRING)

Cna

Senior Data Analytics Consultant

Toronto, ON · On-site

CA$90K - CA$105K/yr

Commercial insurance knowledge is a plus. * Strong proficiency with SQL. Experience programming in ... Ability to analyze data and provide valuable insights. * Strong interpersonal, communication and ...

Subway

Manager, Marketing Data Analytics

Toronto, ON · On-site

CA$90K - CA$113K/yr

The Manager of Marketing Analytics role will leverage data and analytics to drive the ... Insurance Plans (Medical/Dental/Vision/Life) * 401k * Competitive Bonus * Mobility Allowance

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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 5, 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 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $82,200 per year, or $39.5 per hour.

Manager, Risk Data Analytics

BMO Capital Markets

Toronto, ON • On-site

CA$82K - CA$154K/yr

Full-time

Medical, Life, Retirement

Posted 18 days ago

Job description

Application Deadline:

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

The Manager, Data Analytics is responsible for leading the development and delivery of advanced analytics, data quality, and reporting solutions to support risk management and regulatory requirements. The role leverages large-scale data, advanced analytics, and emerging technologies to generate actionable insights, improve data quality, and enable consistent, data-driven decision-making across the organization.

The incumbent will manage a team of analytics professionals, deliver scalable analytics solutions, and ensure alignment with enterprise data governance standards and regulatory expectations.

Translate business requirements into technical analytics solutions and scalable data processes.

  • Deliver insights and recommendations to support risk monitoring, portfolio analysis, and business strategy.
Data Quality & Governance Lead data quality initiatives including rule definition, monitoring, issue identification, and remediation.
  • Ensure adherence to enterprise data governance frameworks and support regulatory requirements (e.g., model monitoring, reporting accuracy).
  • Work closely with data providers and stakeholders to resolve data issues and improve data integrity.
Business & Stakeholder Engagement
  • Partner with business, product, and risk teams to support data-driven decision-making and planning.
  • Communicate complex analytical findings clearly to senior stakeholders through reporting and visualization.
  • Provide consulting support on analytics, reporting, and data quality challenges.
Team Leadership & Development
  • Lead and coach a team of data analysts and data scientists to deliver high-quality outcomes.
  • Set clear objectives, monitor performance, and support career development.
  • Foster a collaborative, high-performance culture aligned with BMO values and inclusion principles.
Innovation & Continuous Improvement
  • Identify opportunities to enhance analytics capabilities, automation, and efficiency.
  • Evaluate and adopt new tools, technologies, and methodologies to improve analytics and data processing.
  • Drive the transition from ad hoc analysis to scalable, production-ready analytics solutions.
QualificationsEducation & Experience
  • Typically 5-7+ years of experience in data analytics, data science, or risk analytics.
  • Experience in financial services, risk analytics, or regulatory reporting is highly preferred.
  • Post-secondary degree in a quantitative discipline (e.g., Statistics, Mathematics, Computer Science).
Technical SkillsCore Skills
  • Strong analytical and problem-solving capabilities
  • Data-driven decision making and business insight generation
  • Data visualization (e.g., Power BI)
  • Programming (e.g., Python, SQL)
  • SAS only nice to have for legacy purposes not mandatory
  • Data wrangling, preprocessing, and ETL processes
Advanced / Preferred
  • Big data technologies and scalable data platforms
  • AI driven skills and predictive analytics (nice to have)
  • Data quality methodology and governance frameworks
  • Experience with risk data and model monitoring platforms
Leadership & Competencies
  • Strong communication and stakeholder management skills
  • Ability to influence decisions using data and insights
  • Proven experience managing and developing teams
  • Ability to operate independently and manage complex, non-routine work
Scope & Impact
  • Primary focus on business/group-level analytics delivery, with potential enterprise-wide impact.
  • Provides specialized technical and analytical support to drive business and regulatory outcomes.

Salary:

$82,800.00 - $154,800.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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