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Insurance Data Analytics Jobs in Ontario (NOW HIRING)

Lyft

Data Analyst

Toronto, ON · On-site

... in data and/or financial analytics. * Very strong attention to detail, experience developing ... Extended health and dental coverage options, along with life insurance and disability benefits

Larus Technologies

Data Scientist

Ottawa, ON · On-site

Perform data analysis, visualization, and modelling with large datasets; * Independently ... Comprehensive Health and Dental insurance package; * Competitive vacation and paid time off;

IKO Industries, Inc

Insurance Analyst

Toronto, ON · On-site

Data Analysis: * Collect and analyze claims data to identify trends and patterns. * Prepare detailed reports and presentations for management. * Evaluate risk and forecast future insurance trends.

BMO Capital Markets

Data Scientist

Toronto, ON · On-site

CA$82K - CA$154K/yr

Data Analytics & Reporting This is a 12 month hybrid contract role in Toronto Uses advanced ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

Lyft

Marketing Analytics Lead

Toronto, ON · On-site

Perform data analysis using first party & third party data, able to dissect business issues ... Extended health and dental coverage options, along with life insurance and disability benefits

Royal Bank of Canada

Sr Data Engineer

Mississauga, ON · On-site

CA$80K - CA$130K/yr

RBC Insurance, through its operating entities, provides a wide range of travel, life, health, home ... Develop Python programs and perform advanced data analytics * Contribute to the build-out of ...

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 ... Extended health and dental coverage options, along with life insurance and disability benefits

US Tool Group

Data / Reporting Analyst Farmington, MO Overview: US Tool Group is seeking Junior and Senior-level ... Health, Vision, Dental and Life Insurance * Comprehensive Employee Wellness Plan * 401K Plan with ...

Clarivate Analytics

Senior Product Manager

Toronto, ON · Hybrid

CA$110K - CA$140K/yr

Shape the product strategy and roadmap for real world data analytics products. * Utilize Real World ... drug, life insurance, 401k with match, long term disability coverage, vacation, sick time ...

Teladoc

Data Engineer

Toronto, ON · On-site

The Data Engineer works closely with analytics, operations, IT, data governance, and AI ... Teladoc Health serves the world's leading insurers, employers, and health systems and helps ...

Td

Data Scientist II

Toronto, ON · On-site +1

CA$81K - CA$115K/yr

About this Role Are you passionate about applying analytics, big data, and AI to Life & Health insurance? Join us to drive insights across credit protection, balance protection, term life, accident ...

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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 22, 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 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 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.

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.

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.

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 August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 27% Part Time, and 4% 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.

Lead Healthcare Research & Data Analyst

Clarivate

Toronto, ON • Hybrid

CA$88K - CA$110K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 9 days ago

Job description

Overview:

Clarivate provides innovative data and analytical solutions to the largest biopharmaceutical and medical technology companies in the world.We are home to leading life sciences and healthcare solutions including Cortellis, solutions for Real World Data, medtech, market access and commercialization and deep consulting services.

About you:

  • Bachelor's degree with a concentration in sciences, healthcare, data analytics, or business.

  • Minimum 5-7+ years of experience in quantitative data analysis, ideally with exposure to healthcare or claims datasets.

  • Hands-on experience working with real-world healthcare datasets (e.g., claims, EHR data) is strongly preferred; deep familiarity with claims data structures and limitations is a significant asset[

  • Proven ability to work with large, complex, multi-dimensional datasets-independently investigating data issues, identifying patterns/trends, and translating findings into actionable insights.

  • Advanced proficiency in Excel (including complex modeling and data manipulation); experience with additional analytical tools (e.g., SQL, Python, Power BI) is an asset.

  • Strong client-facing experience, including leading discussions, presenting insights, and influencing stakeholder decisions at senior levels.

It would be great if you also have...

  • Experience supporting life sciences or medtech clients, particularly in commercial, market access, or strategy contexts.

  • Exposure to market modeling, forecasting, or epidemiology-informed analysis.

  • Experience mentoring junior analysts or contributing to team capability building.

  • Familiarity with data QA/QC processes, data governance, or methodology development.

What you will be doing in this role...

  • Lead and own end-to-end market research and analytics projects using Clarivate's proprietary healthcare datasets.

  • Build, refine, and validate data, ensuring accuracy, consistency, and defensibility of outputs. Proactively identify data gaps, inconsistencies, or risks, supporting root-cause analysis and driving resolution in collaboration with cross-functional teams.

  • Serve as a subject matter expert in claims and real-world data, developing deep knowledge of internal datasets, data dictionaries, and product methodology to confidently interpret and communicate insights.

  • Act as a trusted partner to clients-from Fortune 500 companies to startups-leading discussions with stakeholders, understanding business challenges, and translating them into structured analytical approaches and solutions.

  • Deliver clear, concise, and executive-ready outputs (presentations, summaries, training), tailoring messaging to both technical and non-technical audiences.

  • Collaborate closely with Product, Content, and Commercial teams to shape product improvements, inform methodologies, and scale best practices.

  • Contribute to team development, including coaching junior team members and improving processes to enhance efficiency and quality.

About the Team

Clarivate's Medtech Insights team harnesses real-world healthcare data, in-depth interviews, and our unique mix of in-house expertise to help medical device companies make some of their most important business decisions. The Medtech Content team is an essential part of the broader Medtech team's data-driven culture and regularly contributes its subject matter expertise to other teams within the organization.

Hours of Work

  • This is a full-time position, working primarily core business hours EST zone

  • This role can be performed hybrid with our offices centrally located in Toronto

Compensation

The expected base salary for this position is $88,000 - $110,000 CAD per year.This role is eligible for (incentive or bonus) earnings.Individual pay is based upon experience, education, skill and ability, expertise, and relevant factors.

In addition to a competitive remuneration package, you will be eligible to participate in a benefits package that includes medical, dental, prescription drug, life insurance, 401k with match, long term disability coverage, vacation, sick time, volunteer time, discount programs, and many more.

#LI-hybrid

At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

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