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Insurance Data Analytics Jobs in Ontario (NOW HIRING)

Novartis

Data Analytics Manager

Toronto, ON · Hybrid

Partner with data scientists and analysts to drive insights, machine learning deployment, and ... as insurance plans, retirement plans, wellbeing resources and global recognition programs. In ...

Cna

Senior Data Analytics Consultant

Toronto, ON

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

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 Jul 13, 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?

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 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.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

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:
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% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $82,200 per year, or $39.5 per hour.

Vice President Enterprise Data & Analytics

Gore Mutual Insurance

Toronto, ON • Hybrid

Other

Re-posted 23 days ago

Job description

The Vice President Enterprise Data & Analytics is accountable forestablishingand executing the data strategy to enable data-driven decision making, advanced analytics, and data innovation across the organization. This role ensureseffectivegovernance, architecture, and delivery of data platforms, analytics, and insights aligned with corporate priorities. 

The role exists to transform data into a strategic asset that drives underwriting performance, claims efficiency, customer experience, and operational excellence. Itleadsthe design and delivery of scalable data and AI capabilities, ensuring high-quality, trusted data while enabling advanced modeling and insights. 

Expected outcomes include modernized data infrastructure, enhanced business intelligence and analytics, improved regulatory and reporting capabilities, and measurable business value through data products and insights. 

Define and Lead Enterprise Data Strategy 

  • Develop and/or execute a multi-year data and analytics strategy aligned to business goals 
  • Establish data governance, quality, and stewardship frameworks across the organization 
  • Partner with executive leadership to prioritize data-driven initiatives and investments 

Deliver Scalable Data Engineering & Platforms 

  • Partner with IT to oversee design and implementation of modern data architecture (data lakes, warehouses, cloud platforms) 
  • Ensure reliable, secure, and efficient data pipelines and integration across core insurance systems 
  • Drive adoption of scalable tools, platforms, and engineering best practices 

Enable Advanced Analytics & Data Science 

  • Lead development of predictive models and AI solutions supporting underwriting, pricing, claims, and customer insights 
  • Establish frameworks for model governance, validation, and ethical AI practices 
  • Translate complex analytics into actionable business insights 

Business Intelligence & Data Enablement 

  • Deliver enterprise reporting, dashboards, and self-service analytics capabilities 
  • Drive data literacy and adoption across business units 
  • Ensure regulatory, financial, and operational reporting isaccurate,timely, and auditable 

Leadership & Talent Development 

  • Lead and develop a high-performing team of Directors across Data Engineering, Analytics, and Data Science 
  • Establish organizational design, capabilities, and succession plans 
  • Foster a culture of innovation, accountability, and continuous improvement 

 

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. 
  • Ten (10) or more years of progressive experience in data engineering, analytics, or related domains, including Five (5) or more years in executive leadership roles. 
  • Proven success in leading data transformations and delivering measurable business outcomes. 
  • Deep expertise in a combination of the below:
    • Cloud platforms (Azure, AWS, GCP)
    • Data lakehouse/warehouse (e.g., Databricks, Snowflake)
    • ETL/ELT tools and orchestration frameworks
    • Programming languages (Python, SQL)
    • Data visualization (e.g., Tableau, Power BI)
  • Strong understanding of data governance, security, and compliance frameworks. 
  • Demonstrated ability to influence at all levels and communicate complex data concepts to non-technical stakeholders. 
  • Experience managing budgets, vendor contracts, and cross-functional initiatives. 

Additional helpful experience:

  • Certified Analytics Professional (CAP) 
  • Cloud certifications (AWS, Azure, GCP) 
  • Prior experience in the insurance industry

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