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Insurance Data Analytics Jobs in Mississauga, ON

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

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

Zurich Insurance Group

Claims Data Analyst

Toronto, ON · On-site

CA$65K - CA$85K/yr

Insurance claims, fraud, special investigation, or claims analytics experience. * Experience with ... Experience building dashboards, recurring reports, data quality checks, or analytical summaries.

Definity Financial

Specialist, Data

Toronto, ON · Hybrid

CA$59K - CA$108K/yr

Actively contributes to the design of new and innovative data products for Commercial Insurance. * Analyze and evaluate new data sources based on business requirements. * Facilitate and participate ...

Definity Financial

Senior Specialist, Data

Toronto, ON · Hybrid

CA$92K - CA$142K/yr

Actively contribute to the design of new and innovative data products for Commercial Insurance. Analyze and evaluate new data sources based on current and future business requirements. * Facilitate ...

Sun Life Financial

Data Analyst

King, ON · On-site

The ideal candidate brings 3-5 years of data analytics experience, holds a degree in Computer ... You'll need strong problem-solving skills, expertise in mutual fund and market-based insurance ...

New

Sun Life Financial

Data Analyst

King, ON · On-site

The ideal candidate brings 3-5 years of data analytics experience, holds a degree in Computer ... You'll need strong problem-solving skills, expertise in mutual fund and market-based insurance ...

New

Sun Life Financial

Data Analyst

Toronto, ON

The ideal candidate brings 3-5 years of data analytics experience, holds a degree in Computer ... You'll need strong problem-solving skills, expertise in mutual fund and market-based insurance ...

New

Sun Life Financial

Data Analyst

Toronto, ON

The ideal candidate brings 3-5 years of data analytics experience, holds a degree in Computer ... You'll need strong problem-solving skills, expertise in mutual fund and market-based insurance ...

New

Lyft

Data Analyst, People Analytics

Toronto, ON

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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All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Mississauga, ON

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 the most commonly searched types of Insurance Data Analytics jobs in Mississauga, ON?

The most popular types of Insurance Data Analytics jobs in Mississauga, ON are:

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 job categories do people searching Insurance Data Analytics jobs in Mississauga, ON look for?

The top searched job categories for Insurance Data Analytics jobs in Mississauga, ON 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:

Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Mississauga, ON as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Associate Data Analyst (Co-op)

Insurance Systems

Toronto, ON • Remote

Other

Posted 15 days ago

Job description

About ISI

Insurance Systems Inc. (ISI) develops innovative software solutions for the property and casualty insurance industry across North America. Our collaborative team partners with insurers to modernize operations through technology, analytics, and exceptional client service.



Position Summary 

The Associate Data Analyst (Co-op) will support the Data Team in delivering reporting, analytics, data conversion, and quality assurance activities for ISI. This role provides hands-on experience working with insurance data, business intelligence tools, SQL, and client implementations while learning from experienced data professionals. 

The successful candidate will gain exposure to the full software development lifecycle and collaborate with Product, Client Services, Development, and Quality Assurance teams. 


Key Responsibilities: 

Analytics & Reporting 

  • Assist with creating and maintaining reports within ISI Core and ISI Analytics. 
  • Support the development of new reports based on business and client requirements. 
  • Review existing reports and recommend opportunities for improvement. 
  • Help maintain report documentation and user guides. 
  • Perform report validation and testing prior to release. 
  • Assist with troubleshooting report and data issues. 
  • Support Analytics deployment activities. 
  • Assist with customer inquiries related to reporting and analytics. 
  • Learn and explore emerging analytics technologies, including Generative AI and Business Intelligence tools. 



Data Conversion 

  • Support data conversion activities for new client implementations. 
  • Assist in documenting data mapping requirements. 
  • Help prepare and execute data validation queries. 
  • Review converted data for accuracy and completeness. 
  • Participate in conversion testing activities. 
  • Quality Assurance & Business Analysis 
  • Assist in documenting business and reporting requirements. 
  • Support testing of new product enhancements and bug fixes. 
  • Execute test cases and document results. 
  • Identify, document, and report defects. 
  • Participate in team meetings and solution discussions. 



General 

  • Collaborate with Data Analysts, Developers, Product Managers, and Client Services teams. 
  • Maintain accurate documentation for assigned work. 
  • Continuously develop technical and analytical skills. 
  • Contribute ideas for improving reporting processes and team efficiency. 



Qualifications: 

Required 

  • Currently enrolled in a College or University program in: 
  • Computer Science 
  • Data Analytics 
  • Information Systems 
  • Mathematics 
  • Statistics 
  • Software Engineering 
  • Business Technology Management 
  • or a related discipline. 
  • Strong analytical and problem-solving skills. 
  • Excellent attention to detail. 
  • Strong written and verbal communication skills. 
  • Ability to manage multiple priorities and meet deadlines. 
  • Eagerness to learn new technologies. 


Technical Skills 

  • Experience with or an interest in learning: 
  • SQL 
  • Microsoft Excel 
  • Power BI or other Business Intelligence tools 
  • Data analysis and reporting 
  • Relational databases 
  • Software testing 
  • Data validation 
  • Microsoft Office Suite 


Nice to Have 

  • Knowledge of insurance or financial services 
  • Experience with Python or another programming language 
  • Familiarity with Microsoft SQL Server 
  • Exposure to ETL or data migration concepts 
  • Experience using AI tools to support data analysis or reporting 


What You'll Learn 

During your co-op term, you'll gain experience in: 

  • Business Intelligence and reporting 
  • SQL development 
  • Data conversion and migration 
  • Software Quality Assurance 
  • Business Analysis 
  • Client-facing consulting 
  • Insurance software implementation 
  • Modern analytics tools and AI-enabled reporting 

Work Environment

This is a paid, 16-week co-op placement based in our Toronto office, with a work environment that provides opportunities to collaborate closely with experienced professionals while gaining hands-on industry experience.


Accessibility & Accommodation

At Insurance Systems Inc., we believe that diverse perspectives make us stronger. We are committed to providing an inclusive, accessible recruitment process for all candidates. If you require accommodation during any stage of the hiring process, please let us know. We will work with you to provide reasonable accommodations in accordance with applicable legislation.