Senior Risk & Controls Data Analyst

Wawanesa Insurance; Winnipeg; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

A leading Canadian insurance provider seeks a Senior Risk & Controls Data Analyst in Winnipeg, promoting a hybrid work model. This role involves data extraction, transformation, and analytics to support risk monitoring and compliance. The ideal candidate has a post-secondary degree and at least 5 years of relevant experience, including advanced SQL skills and familiarity with data visualization tools like Power BI. The firm offers a competitive salary of $100,000-$130,000 plus benefits and a focus on diversity and inclusion.

Benefits

Annual bonus plan

Generous vacation time

Health benefits

Pension plan

Qualifications

• Minimum of 5 years of data-related experience.
• Exceptional ability to manage multiple priorities with minimal supervision.
• Strong communication skills for presenting data insights.

Responsibilities

• Lead data extraction, transformation, and analytics.
• Develop impactful dashboards to present results.
• Assess data quality and identify improvement opportunities.

Skills

Data analysis

SQL

Data visualization

Interpersonal skills

Programming in Python

Communication skills

Education

Post-secondary degree in technical/business field

Tools

Power BI

Oracle

Microsoft SQL Server

PostgreSQL

Qlik

MicroStrategy

AWS (Athena, Glue, etc.)

Job description

Job ID: 9647

Employment Type: New 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 provided with generous vacation time, personal days, premium free benefits and 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: $100,000- $130,000. 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; Montreal, QC; Moncton, NB; 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.

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

The Senior Risk & Controls Data Analyst is a key contributor in Wawanesa’s second line Monitoring and Testing (M&T) team. Working under minimal supervision, this role is responsible for supporting governance and oversight activities using a data driven and technology enabled approach. The role leads the development of data extraction, transformation, descriptive analytics, diagnostic analytics, and data automation to monitor key risks, assess compliance, and automate testing activities at Wawanesa and its subsidiaries across the enterprise risk management and regulatory compliance management frameworks.

Responsibilities

• Leads the research, extracting, and manipulation of complex and large volumes of data from relevant sources
• Assesses data quality to evaluate impact on controls, and identify improvement opportunities
• Synthesizes data to support assessing regulatory risk and identifying potential risks and areas of non-compliance
• Performs complex analytics to support compliance risk assessments
• Collaborates with internal team members and cross-functional stakeholders, and leads data literacy skills improvement with colleagues within Risk and Compliance on analysis and refinement of analytics results
• Develops and maintains right-sized internal documentation with high quality
• Presents analytic results to stakeholders including Senior Management through development of impactful dashboards and visualization
• Leads data analytics and automation initiatives within the M&T team
• Mentors team members and supervises analytics performed by others
• Challenges the status quo and pursues continuous improvement opportunities
• Develops and maintains relationships with stakeholders, and contributes to data communities of interest and working groups
• Maintains a high degree of professionalism in handling confidential and sensitive information
• Performs other duties as required

Qualifications

• Post-secondary degree with a preference for a combination of technical and business study (such as management information systems)
• Minimum of 5 years of experience in a data related role, such as data analytics, data management, or other data-related equivalent background, with increasing responsibilities
• Exceptional ability to manage multiple priorities with minimal supervision
• Strong interpersonal, verbal, and written communication skills for presenting complex data insights and foresights
• Advanced knowledge of SQL and demonstratable experience with database systems such as Oracle, Microsoft SQL Server, PostgreSQL, and Redshift is required
• Experience with data visualization tools, such as Power BI, Tableau, or Qlik is required
• Experience with programming languages such as Python is required
• Experience with reporting tools such as MicroStrategy, Cognos, or SSRS is considered an asset
• Experience with the AWS cloud environment and relevant tools (Athena, Glue, Lambda, S3) is considered an asset
• Experience with low-code automation systems, such as Power Automate is considered an asset
• Experience in P&C/Life insurance or financial services is considered an asset
• Bilingualism (French and English) would be considered 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.