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Insurance Data Analytics Jobs in Ottawa, ON (NOW HIRING)

Catastrophe Risk Specialist

Ottawa, ON ยท Hybrid

CA$85K - CA$115K/yr

Analyze historical data, scientific research, and insurance claims to enhance model accuracy. * Collaborate with actuaries, underwriters, and analysts to understand risk exposures, and manage ...

Comprehensive Health and Dental insurance package; * Competitive vacation and paid time off ... Data Fusion and Analytics, Data Science, and Research and Engineering. Larus software products ...

Work with team to evaluate the risk associated with group insurance applications. * Review and analyze group data, claims history, medical information, and other relevant factors to determine ...

Leverage data analytics and technology to enhance financial crime detection, monitoring, and ... Understanding of banking, insurance, asset management products and services, and existing ...

Organizational Design Manager

Ottawa, ON ยท Hybrid

CA$120K - CA$145K/yr

... external market salary data, internal pay equity and the knowledge, skills, experience and ... The Wawanesa Mutual Insurance Company ("Wawanesa Mutual"), founded in 1896, is one of Canada ...

Benefits Analyst

Ottawa, ON ยท On-site

CA$70K - CA$85K/yr

Gather data and determine cost impact for plan design changes * Conduct marketings; including ... insurance, and estate planning for organizations of all sizes, from small businesses to large ...

Showing results 21-40

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 Ottawa, ON?

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

What are popular job titles related to Insurance Data Analytics jobs in Ottawa, ON?

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

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

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

Infographic showing various Insurance Data Analytics job openings in Ottawa, ON as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 23% Part Time, and 6% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution.

Catastrophe Risk Specialist

Wawanesa Insurance

Ottawa, ON โ€ข Hybrid

CA$85K - CA$115K/yr

Full-time, Part-time

Retirement, PTO

Re-posted 14 days ago


Job description

Job ID:ย 10138ย 


Employment Type:
Existing Roleย 

Work Environment: We offer a hybrid work environment that offers flexibility to our employees in balancing in-office (2 days per week OR 15 hours per week in a Wawanesa office) and remote work.ย You may work from any of the following locations: Winnipeg, MB; Vancouver, BC; Calgary, AB; Edmonton, AB; Toronto (North York), ON; Kitchener, ON.ย 

Working Business Language:ย English.This role is considered a head-office role and will be required to communicate with internal and external stakeholders across Canada where the primary business language for this role is English. ย As such, the successful candidate must be fully proficient in English
ย 

Salary: At Wawanesa, salary is only one component of a holistic, comprehensive and competitive offering that we provide to our employees. In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus plan, leave of absence top-up programs and provided with generous vacation time, personal days, premium free benefits and pension plan.ย 
ย 

The salary offered for this role is determined with consideration to various factors, including but not limited to: your work location, local labour market conditions, external market salary data, internal pay equity and the knowledge, skills, experience and anticipated proficiency in the role. The salary offered is estimated to be within the following range: $85,000 - $115,000.ย ย Candidates with salary expectations outside of the range are still encouraged to apply.ย 

About The Wawanesa Mutual Insurance Company
Founded in 1896, The Wawanesa Mutual Insurance Company is one of Canada's largest mutual insurers, 100% owned by its members, with more than $4.1 billion in annual revenue and $12.5 billion in assets. Headquartered in Winnipeg, Wawanesa is the parent company of Wawanesa Life, which provides life insurance solutions throughout Canada, and Western Financial Group, a leading national distributor of personal and business insurance. In March of 2026, Wawanesa entered into an agreement to acquire Everest Insurance Company of Canada to strengthen its commercial insurance capabilities and advance its long-term growth strategy.


Wawanesa proudly serves more than 1.8 million members and we are home to more than 3,000 employees across Canada. The company actively gives back to organizations that strengthen communities, donating more than $4 million annually to charitable organizations, including more than $2 million each year in support of people on the front lines of climate change. Learn more at wawanesa.com.

We are currently looking for dedicated, driven, and enthusiastic individuals who thrive in an environment that welcomes change and are looking for an opportunity for diverse experience and advancement on a growing team.

Job Overview

Reporting to the Manager, Catastrophe Risk, this role is responsible for analytics and modeling capabilities within our Catastrophe Risk Management team. This includes data extraction and manipulation for the purpose of modeling, reporting, and exposure accumulation. The role will collaborate with various pricing and underwriting teams to assist in the implementation of catastrophe models and monitoring of exposure accumulations.ย 

Job Responsibilities

  • Develop and calibrate catastrophe perils using industry-standard software (e.g., RMS, VERISK, etc.).ย 
  • Analyze historical data, scientific research, and insurance claims to enhance model accuracy.ย 
  • Collaborate with actuaries, underwriters, and analysts to understand risk exposures, and manage exposure accumulations.ย 
  • Interpret model outputs and assumptions from multiple models to help form a view of risk.ย 
  • Coordinate with risk management partners the independent review of model performance, documentation, and validation.ย 
  • Conduct sensitivity analysis and scenario testing to evaluate the impact of different variables on risk assessments.ย 
  • Proactively share knowledge in catastrophe-related areas, create learning experiences and foster teamwork and cross-functional collaboration.ย 
  • Communicate findings and recommendations to stakeholders through reports, presentations, and technical documentation.ย 
  • Stay updated with industry advancements, regulatory requirements, and best practices in catastrophe modeling.ย 
    ย 
Qualifications
  • Bachelor's degree in mathematics, statistics, actuarial science, atmospheric science, geospatial science or related field.ย 
  • 3+ years' experience in a catastrophe modelling role using one or both of RMS and AIR Verisk.ย 
  • Proficiency in catastrophe modeling software, programming languages such as R, SQL, or similar for data manipulation and modeling.ย 
  • Strong analytical skills with a deep understanding of risk assessment and modeling techniques.ย 
  • Excellent communication and presentation skills, with the ability to translate complex technical concepts to non-technical stakeholders.ย 
  • Experience in insurance, reinsurance, catastrophe model development, catastrophe risk pricing or risk management is an asset.ย 
  • Certification or coursework in catastrophe modeling, risk management (e.g., CPCU, ARe) or actuarial exams is an asset.ย 
  • #LI-WAWA
    ย 


Diversity Equity, Inclusion& Belonging
At Wawanesa, we are committed to Diversity, Equity, Inclusion and Belonging (DEIB) and believe that our strength lies in the diversity of our people - this is supported by having a representative workforce.

We welcome applications from all qualified candidates, including racialized persons, women, Indigenous Peoples, persons with disabilities, members of the 2SLGBTQIA+ community, gender-diverse and neurodiverse individuals, and anyone who can contribute to the further diversification of thought and ideas.ย 
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We aim to ensure our recruitment process is accessible to all candidates. If you require accommodations during any stage of the recruitment process, please reach out in confidence to jobs@wawanesa.com.
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All Wawanesa job applicants are subject to Wawanesa's Privacy Policy.

Please note that the recruitment process for this position may involve the use of AI tools to screen, assess, or select applicants. All final decisions are taken or reviewed by human recruiters and human hiring leaders in compliance with all applicable legislation. ย 
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