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Insurance Data Analytics Jobs in Mississauga, ON

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

Junior Data Analyst

Toronto, ON ยท On-site

CA$50K - CA$60K/yr

Python, SQL, and other data analytics skills are highly preferred. * Strong analytical and problem ... What We Offer * Full-time position with insurance benefits. * Salary range $50,000 - 60,000 * Paid ...

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

The IT Data Modeler is responsible for designing, developing, and maintaining enterprise data models that support insurance operations, reporting, analytics, underwriting, claims, policy ...

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Insurance Data Analytics information

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 popular job titles related to Insurance Data Analytics jobs in Mississauga, ON?

For Insurance Data Analytics jobs in Mississauga, ON, the most frequently searched job titles are:

What cities near Mississauga, ON are hiring for Insurance Data Analytics jobs?

Cities near Mississauga, ON with the most Insurance Data Analytics job openings:

Infographic showing various Insurance Data Analytics job openings in Mississauga, ON as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Analyst, Data & Analytics

The Canada Life Assurance Company

Toronto, ON โ€ข On-site

CA$65K - CA$87K/yr

Full-time, Part-time

Medical, Dental, Life, Retirement

Posted 19 days ago


Key responsibilities

  • Support the data management, analysis, and reporting needs of the department.

  • Build, implement, and maintain data models, custom reports, and dashboards for varied audiences.

  • Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet business needs.


Job description

Permanent Full Timeย 

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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.

Given the size and scope of our organization, we have the flexibility for this position to be located in the following head office locations: Toronto and London.ย 

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

University or College education 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 pipelinesย 
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 Lifeย 

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

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

What we offer:ย ย 

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:ย 

  • Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to$2,000 annuallyย towardsย education reimbursement.ย 
  • Health & Wellness:Flexible health and dental benefits,ย plus a $5,000 mental health benefit to support your well-being.ย 
  • Time Off:In addition to regular vacation andย personal days,ย we support communityย involvement with aย volunteer day.ย 
  • Financial Security:Company-matching pension plan,share ownership program andย additionalinvestment options.ย 
  • Rewards and Recognition:ย Employee recognition programs, service milestone celebrations, employee discounts and more!ย ย 
  • Emphasis onย Community:ย We provide aย workplace whereย employeesย feel connected and supported throughย Employee Resource Groups (ERGs),ย mentorshipย programs,ย socialย clubsย andย events.ย ย 

Learn more aboutย Canada Life.ย ย 

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

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

#LI-Hybridย