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Remote Insurance Data Analytics Jobs in Toronto, ON

Data Analyst

Toronto, ON ยท On-site +1

London, ON | Hybrid/Remote | StarTech.com StarTech.com is continuing to grow our Data Analytics team and we are looking for a Data Analyst who is passionate about turning data into actionable ...

Fully Remote (Canada, EST time zone) Compensation: Salary + Bonus + Health Benefits About Veem Veem ... Shape the future of B2B payments -- Data Engineer, BI & Reporting (Analytics Engineer / BI Engineer ...

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Remote Insurance Data Analytics information

What is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

How do remote insurance data analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

What are the key skills and qualifications needed to thrive as a remote insurance data analytics professional?

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.
What are popular job titles related to Remote Insurance Data Analytics jobs in Toronto, ON? For Remote Insurance Data Analytics jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Toronto, ON look for? The top searched job categories for Remote Insurance Data Analytics jobs in Toronto, ON are:
Infographic showing various Remote Insurance Data Analytics job openings in Toronto, ON as of August 2026, with employment types broken down into 5% Internship, 66% Full Time, 10% Part Time, and 19% Contract. Highlights an 100% Remote job distribution.

Associate Data Analyst (Co-op)

Insurance Systems

Toronto, ON โ€ข Remote

Other

Posted 4 days ago


Job description

Salary:

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

  • Assistwith creating andmaintainingreports 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.
  • Helpmaintainreport documentation and user guides.
  • Perform report validation and testing prior to release.
  • Assistwith troubleshooting report and data issues.
  • Support Analytics deployment activities.
  • Assistwith 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.
  • Assistin 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
  • Assistin 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.
  • Maintainaccuratedocumentation for assigned work.
  • Continuously develop technical and analytical skills.
  • Contribute ideas for improving reporting processes and team efficiency.


Qualifications:

Required

  • Currently enrolled in aCollegeor 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 learnnew 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'llgain 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.