Senior Data Analyst

Wawanesa Insurance; Winnipeg; Hybrid; CAD 85,000 - 110,000; Full time

Job summary

A leading Canadian insurance company in Winnipeg is seeking a Data Analyst to enhance decision-making through data-driven insights. The role involves data analysis, teamwork, and best practice development. Ideal candidates have 2 to 4 years of relevant experience, strong skills in SQL and communication, and a focus on data quality. With a commitment to diversity and a hybrid work model, the company values continuous learning and offers a competitive salary ranging from $85,000 to $110,000.

Benefits

Annual bonus plan

Leave of absence top-up programs

Generous vacation time

Premium free benefits

Pension plan

Qualifications

• 2 to 4 years of relevant experience in data-related fields.
• Intermediate to advanced skills in SQL and data visualization tools.
• Strong communication skills for simplifying complex concepts.

Responsibilities

• Research and transform complex data with a focus on quality.
• Perform data analysis to generate insights and visualizations.
• Collaborate to develop best practices and document processes.

Skills

Data mining

Business intelligence

Data analysis

SQL

PowerBI

R or Python

Oral communication

Written communication

Education

Bachelor's degree in statistics, computer science, econometrics, mathematics, or actuarial science

Tools

SQL

PowerBI

AWS tools (S3, Athena, Redshift, Glue)

Job description

Employment Type

Existing Role

Working Business Language

English. This role is considered a head‑office role and will be required to communicate with internal stakeholders across Canada where the primary business language utilized is English.

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 are provided with generous vacation time, personal days, premium free benefits and a pension plan. 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–$110,000. Candidates with salary expectations outside of the range are still encouraged to apply.

About Us

At Wawanesa, 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. You may work from any of the following locations: Winnipeg, MB; Vancouver, BC; Calgary, AB; Edmonton, AB; Toronto (North York), ON; Kitchener, ON; Ottawa, ON; Montreal, QC; Dartmouth, NS. The Wawanesa Mutual Insurance Company (“Wawanesa Mutual”), founded in 1896, is one of Canada’s largest mutual insurers, with over $3.5 billion in annual revenue and assets of $10 billion (CAD). Wawanesa Mutual, with its National Headquarters in Winnipeg, is the parent company of Wawanesa Life, which provides life insurance products and services throughout Canada, and Western Financial Group, which distributes personal and business insurance across Canada. Wawanesa proudly serves more than 1.7 million members in Canada, and we are home to more than 3,300 employees distributed across the Canadian regions and communities where we operate. We give back to organizations that strengthen communities, donating more than $3.5 million annually to charitable organizations, including over $2 million annually in support of people on the front lines of climate change. We are also proud to be recognized as one of Manitoba’s Top Employers. To learn more visit wawanesa.com.

Job Overview

This exciting job opportunity as a Data Analyst (or Senior Data Analyst) will be part of the Personal Lines Pricing Insights team and play a key role in building data products and reporting that supports decision making in Pricing and other related functions. You will be responsible for solving business problems and discovering business insights using data, statistics, predictive modelling techniques and visualization to communicate analysis to technical and business audiences.

Job Responsibilities

• Researches, extracts and transforms complex data from relevant sources with a strong emphasis on data quality.
• Performs data analysis to generate insights, visualizations and reports for business units and leadership in a timely manner.
• Provides regular project updates to stakeholders including potential obstacles and proposed solutions.
• Clearly documents key projects and processes.
• Collaborates efficiently in a team environment and develops strong working relationships across teams, including with Data Analysts from other functions.
• Develops and advises on best practices for business stakeholders, including consultations for their data and reporting explorations.
• Evaluates existing processes to find opportunities for increased efficiency.
• Commits to professional development and continuous experiential learning to build cross‑functional knowledge and technical skill development.
• Identifies new industry trends, tools and techniques to implement in the organization.
• Defines best practices for the team, including training and documentation.
• Aspires or actively contributes to the mentorship, training and development of team members.
• Performs other duties as assigned.

Qualifications

• 2 to 4 years of relevant experience in data mining, business intelligence, data science or related field.
• A bachelor's degree in statistics, computer science, econometrics, mathematics, actuarial science, or a related quantitative field or equivalent work experience.
• Intermediate to advanced proficiency with SQL, PowerBI or other similar visualization and reporting tools, and with data modelling.
• Intermediate to advanced proficiency working with large datasets in R or Python, or other programming languages.
• Strong oral and written communication skills, demonstrating the ability to convey complex terminology and concepts into simple terms for stakeholders.
• Experience working with AWS tools such as S3, Athena, Redshift and Glue, or equivalent tools in a different cloud environment, is an asset.
• Strong understanding of simple machine learning techniques (such as linear regression and decision trees), with a focus on interpretability is an asset.
• Functional knowledge of P&C Insurance lines of business is an asset.

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.

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 [e-mail].

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.