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

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 ...

Product Innovation Strategist

Ottawa, ON ยท Hybrid

CA$90K - CA$110K/yr

... external market salary data, internal pay equity and the knowledge, skills, experience and ... About The Wawanesa Mutual Insurance Company Founded in 1896, The Wawanesa Mutual Insurance Company ...

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

Showing results 21-40

Insurance Data Analytics information

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.

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.

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.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

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 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 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, 68% Full Time, 25% Part Time, 1% Temporary, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Software Engineer

Larus Technologies

Ottawa, ON โ€ข On-site

Full-time

Medical, Dental, PTO

Re-posted 26 days ago


Job description

Full-time: 37.5 Hours per week, Monday to Friday
Location: Ottawa Office (3 days per week / hybrid), 170 Laurier Ave West, Suite 310, Ottawa, ON K1P 5V5 Ottawa-based Home Office (2 days per week)
Reporting To: Technology Director
Salary Range: $90,000 to $140,000
Type of Vacancy: New
 

We are looking for enthusiastic, self-motivated individuals to join the Larus team as a Software Engineer. Our Software Engineering team is currently developing end-to-end real-time solutions for the public safety and security industries. This includes data interfacing, collection, aggregation, display, exploitation, and fusion functionalities. As a member of the Software Engineering team, you will design and develop software modules within an existing product. You should expect to work on a wide variety of software problems and learn and apply new skills.


Key Responsibilities: 

  • Design and implement scalable, distributed software systems;
  • Design, develop, integrate and test software modules and systems;
  • Advocate high quality and best-practices in software design and development;
  • Interface development for various protocols, data formats and logical connections;
  • Close interaction with other team members on system integration and validation
  • Participate in all aspects of the software development process including planning, retrospectives, and demos;
  • Meeting assigned goals with the team and releasing deliverables to stakeholders and
  • customers; and,
  • Other duties as assigned.


Qualifications: Some individuals are less likely to apply for a job unless they consider they are a perfect match. At Larus Technologies we welcome motivated individuals to our diverse and inclusive workplace. Thus, if you are excited about this role but do not have every qualification, we encourage you to apply anyway.

  • University degree in Computer/Software Engineering, Computer Science or other related Engineering degree;
  • Required to meet qualifications to obtain a Canadian Government security clearance (typically requires the candidate to be a Canadian citizen or permanent resident of Canada).
  • 5+ years of direct experience in design, development, deployment, and verification of software, with at least 2 years in Java and 2 years in python;
  • Experience with creating software documentation and other forms of technical writing;
  • Experience in developing and debugging high performance software;
  • Experience in security-oriented software design principles;
  • Experience in using REST APIs;
  • Experience with databases, including as SQL and document stores;
  • Experience using source control such as Git and build tools such as Gradle;
  • Experience with different OS (Windows, Linux);
  • Experience in one or more of virtual machines, Kubernetes, containerization, cloud platforms;
  • Excellent computer and manual problem analysis, evaluation, and resolution skills;
  • Strong organizational and problem-solving skills;
  • Passion for learning and solving complex problems;
  • Strong communication skills;
  • Experience in Continuous Integration and Continuous Deployment (CICD) Systems;
  • Organized and focused; and
  • Ability to work in a dynamic, fast-paced work environment;
     

Preferred Skills:

  • Experience with shell scripts;
  • Experience with object-oriented design;
  • Experience in designing REST APIs;
  • Experience with Python, JavaScript and TypeScript;
  • Design diagram creation (UML, flowcharts, dataflow diagrams, etc);
  • Knowledge of cyber security best practices;
  • Concurrent, message driven, distributed applications;
  • Large dataset processing and analysis;
  • Knowledge of computer networking;
  • Provide guidance and mentorship and lead technical discussions;
  • Use or develop GIS software; and
  • Develop automated testing tools or define test cases.
     

Benefits

  • Competitive compensation package
  • Comprehensive Health and Dental insurance package;
  • Competitive vacation and paid time off;
  • Company-sponsored team-building events; and
  • Learning and development opportunities.


About Larus Based in Ottawa, Canada, Larus Technologies (https://larus.com) is a software company specializing in Artificial Intelligence (AI), Machine Learning (ML), Big Data Analytics, and Decision Support Systems (DSS). Larus has three core business lines: Data Fusion and Analytics, Data Science, and Research and Engineering. Larus software products include the patented Total::Insight™ DSS, the Total::Perception™ Systems Simulation Engine (SSE), and the Total::Vision™ Video Analytics Solution (VAS). Our Data Science and Engineering Consulting focuses primarily on Retail, Supply Chain Management, Public Safety, and Defence, while Research and Engineering focuses on innovations in advanced AI/ML across industries. Larus is renowned for its ability to solve complex customer challenges that require multi-sensor data collection, aggregation, exploitation, fusion, and analytics.

We thank all applicants; however, only those selected for an interview will be contacted. Upon completion of the recruitment process, all candidates interviewed will be notified if they are not selected for the role.

We use AI support tools to screen applicants for minimum role requirements.

At Larus, we celebrate diversity and are committed to creating an inclusive environment for all employees.

Larus has an accommodation process and provides accommodation for applicants with disabilities. If you have specific ergonomic needs or require other accommodation because of a disability or a medical need, please don’t hesitate to contact Larus at hr@larus.com to discuss arrangements.

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