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Remote Insurance Data Analytics Jobs in Toronto, ON

Envita Medical Center

Data Analyst

Toronto, ON · Remote

Job Summary We are seeking a detail-oriented and analytical Data Analyst to join our remote team ... Health, dental, and vision insurance * 401(k) with company match * Flexible work schedule

New

Tucows

Data Analyst

Toronto, ON · Remote

CA$79K - CA$88K/yr

It's also why the majority of our roles are remote-first, meaning you can work from anywhere you ... This is a high-impact analytics position for someone who works at the intersection of data ...

Tucows Inc.

Data Analyst

Toronto, ON · Remote

CA$79K - CA$88K/yr

It's also why the majority of our roles are remote-first, meaning you can work from anywhere you ... This is a high-impact analytics position for someone who works at the intersection of data ...

Veem

Data Engineer, BI & Reporting

Toronto, ON · Remote

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, and why are they important?

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:
Remote Insurance Data Analytics jobs near you
Infographic showing various Remote Insurance Data Analytics job openings in Toronto, ON as of July 2026, with employment types broken down into 62% Full Time, 13% Part Time, and 25% Contract. Highlights an 100% Remote job distribution.
Data Analyst

Data Analyst

Envita Medical Center

Toronto, ON • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New

Job description

Job Summary

We are seeking a detail-oriented and analytical Data Analyst to join our remote team. In this work-from-home role, you will collect, organize, analyze, and interpret data to help support business decisions and improve operational performance. You will work with cross-functional teams to identify trends, create reports, and provide actionable insights. This position is ideal for someone with strong analytical skills, attention to detail, and the ability to work independently in a remote environment.

Key Responsibilities
  • Collect, organize, and analyze data from multiple sources.
  • Prepare reports, dashboards, and visualizations to support business decisions.
  • Monitor key performance indicators (KPIs) and identify trends or patterns.
  • Verify the accuracy and integrity of data before reporting.
  • Maintain and update databases, spreadsheets, and reporting systems.
  • Collaborate with internal departments to gather business requirements and provide analytical support.
  • Perform data validation, cleansing, and quality assurance.
  • Generate recurring and ad hoc reports for management.
  • Present findings and recommendations in a clear and concise manner.
  • Assist with process improvement initiatives through data analysis.
  • Maintain confidentiality of company and customer information.
  • Perform additional analytical and administrative duties as assigned.
Qualifications
  • High school diploma or equivalent (Associate's or Bachelor's degree in Data Analytics, Mathematics, Statistics, Computer Science, Business, or a related field is a plus).
  • Previous experience in data analysis, reporting, business intelligence, or administrative support is preferred but not required.
  • Strong analytical and problem-solving skills.
  • Proficiency in Microsoft Excel; experience with SQL, Power BI, Tableau, or similar reporting tools is a plus.
  • Strong attention to detail and organizational skills.
  • Excellent written and verbal communication skills.
  • Ability to interpret data and present meaningful insights.
  • Ability to work independently and manage multiple priorities in a remote environment.
  • Reliable high-speed internet connection and a dedicated home workspace.
Benefits
  • Competitive salary
  • Fully remote work environment
  • Paid training
  • Paid time off (PTO)
  • Health, dental, and vision insurance
  • 401(k) with company match
  • Flexible work schedule
  • Employee Assistance Program (EAP)
  • Career growth and advancement opportunities
  • Performance-based bonuses
  • Ongoing professional development and training

This remote position is ideal for individuals who enjoy working with data, solving business problems through analysis, and providing valuable insights that help drive organizational success while working from the comfort of home.

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