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Senior Insurance Data Analytics Jobs in Toronto, ON

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 ...

Manager, Risk Data Analytics

Toronto, ON · On-site

CA$82K - CA$154K/yr

  • Medical

  • Life

  • Retirement

Communicate complex analytical findings clearly to senior stakeholders through reporting and ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

Senior Data Analyst

Toronto, ON

  • Medical

  • Retirement

  • PTO

Senior Data Analyst Who We Are Teranet is Canada's leader in the delivery and transformation of ... Is keen to understand the business - data analytics cannot be done in a vacuum - we need to be ...

Manager Data & Analytics

Toronto, ON · On-site

  • Medical

  • Retirement

The Manager, Data and Analytics, Retail Credit Risk, GRM will be responsible for monitoring and ... The incumbent will deliver ongoing portfolio reporting and monitoring to senior management, as well ...

Data & Analytics Engineer

Etobicoke, ON · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... senior business stakeholders, and you can make sense to all of them. If you know Snowflake well ... Data Engineer) or AWS certifications (Solutions Architect, Data Analytics Specialty)Experience in a ...

Senior Data Analyst

Guelph, ON

CA$80K - CA$95K/yr

  • Medical

  • Dental

... analytics, critical thinking skills, and the ability to transform data into actionable insights to support strategic decision-making. The Senior Data Analyst gathers, analyses, and reports data ...

Reporting to the Manager, Data Analytics, the Senior Data Analyst will lead the development, delivery, and continuous improvement of AI-enabled analytical products and Tableau solutions that support ...

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Showing results 1-20

Senior Insurance Data Analytics information

What does a senior insurance data analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

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

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What are some common challenges faced by senior insurance data analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.

What is the difference between Senior Insurance Data Analytics vs Insurance Data Analyst?

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

What are the most commonly searched types of Insurance Data Analytics jobs in Toronto, ON?

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

Senior Data Analytics Consultant

Cna

Toronto, ON

CA$90K - CA$105K/yr

Full-time

Re-posted 25 days ago


Job description

You have a clear vision of where your career can go. And we have the leadership to help you get there.At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.

As part of the Canadian Actuarial team, this role is responsible for delivering catastrophe (CAT) exposure analytics and pricing support for the Canadian portfolio, providing insights through portfolio analysis as well as regulatory and reinsurance reporting. The position works closely with the US Catastrophe Modeling team, bridging teams across geographies to ensure consistent methodology, shared expertise, and informed risk evaluation.
The role partners closely with underwriting, actuarial, and enterprise risk management teams, while contributing to data governance and ongoing analytics and data modernization initiatives. This position will work closely with the Catastrophe and Exposure Management team based in the US.

JOB DESCRIPTION:

Essential Duties & Responsibilities

Performs a combination of duties in accordance with departmental guidelines:

  • Lead CAT exposure monitoring and portfolio analytics, including monthly Probable Maximum Loss (PML) and Average Annual Loss (AAL) analysis, portfolio aggregation, and key account-level insights.

  • Analyze changes in CAT metrics and develop scenario-based insights to support underwriting and business decisions. Explain the impact of various catastrophe modeling metrics, attributes, and assumptions to various stakeholders

  • Perform detailed exposure analysis at account and location levels, including loss attribution and sensitivity testing, with delivery of executive-level reporting.

  • Own development and enhancement of CAT pricing tools, ensuring alignment with underwriting workflows, and provide pricing guidance and model interpretation support to underwriters.

  • Lead real-time CAT event response analytics. This includes exposure tracking, impact assessment, communication of insights during active events, and supporting preparedness planning.

  • Support regulatory and actuarial reporting, including CAT-related inputs for regulatory reporting.

  • Provide analytics to help Business Unit leadership understand their portfolio's exposure and how it can further improve profitability.

  • Provide analytical support for reinsurance and capital modeling, including exposure preparation, treaty analysis, and scenario-based capital insights.

  • Act as a data steward for exposure and portfolio data, including validation, quality control, and establishment of data governance and standards.

  • Deliver regular reporting and insights to senior leadership and act as a liaison across actuarial, underwriting, enterprise risk management and operations teams.

  • Contribute to actuarial data modernization and tooling initiatives, including development of rating engine requirements, data architecture, and integration of analytics tools.

  • Other ad hoc data analysis as required.

May perform additional duties as assigned.

Reporting Relationship

Typically Director or above

Skills, Knowledge & Abilities

  • Strong knowledge of core functions of an insurance company and general insurance. Commercial insurance knowledge is a plus.

  • Strong proficiency with SQL. Experience programming in a language such as VBA, R, or Python is desired.

  • Advanced technical knowledge of financial and statistical practices, procedures and principles, which may include a specialty area. Knowledge of the Verisk or Moody's RMS CAT model is a plus.

  • Ability to analyze data and provide valuable insights.

  • Strong interpersonal, communication and presentation skills.

  • Ability to effectively interact with all levels of CNA's internal and external business partners.

  • Strong knowledge of Microsoft Office Suite and other enterprise business tools, including responsible use of AIenabled technologies (such as Copilot or similar) to enhance efficiency, analysis and workflow in accordance with company policies.

  • Proven problem-solving capabilities. Self-starter with demonstrated ability to generate new ideas and work well with a team.

  • Solid project management, organization and planning skills with the ability to manage multiple projects effectively.

Education & Experience

  • Bachelor's Degree in a relevant discipline such as Actuarial Sciences, Statistics, Mathematics, Computer Science, Engineering, or equivalent
  • Typically a minimum of seven years of related experience.
  • Data Science or related certifications preferred

Our Total Rewards philosophy reflects our commitment to building a high-performing, inclusive culture where every team member is empowered to grow, contribute, and thrive. We value the unique strengths and perspectives each individual brings to our business, our clients, and our communities. The base salary range for this position is $90,000 to $105,000, complemented by a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional, and social wellbeing goals. Base salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. Please note that this posting is for an existing vacancy.

At CNA, we are committed to providing equal employment opportunities to all employees and applicants. It is our policy to provide equal employment opportunities to employees and applicants based on job-related qualifications and ability to perform a job. If you require an accommodation during the hiring process or upon hire, please inform Human Resources. If a selected applicant requests accommodation during the recruitment process, CNA will consult with the applicant in order to provide suitable accommodation that takes into account the applicant's accessibility needs.