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Toronto, ON · AB · Winnipeg, MB · Moncton, NB · Kitchener, ON · Montreal, QC · Vancouver, BC · Dartmouth, NS · Calgary, AB · ON · Hybrid - Canada, ON · North York - Toronto, ON (Hybr, ON · Edmonton, AB (Hybrid), AB
The Solution Analyst (Intermediate or Senior) will be part of our Life Data Squad Delivery team and contribute to Wawanesa’s success by analyzing, designing, documenting, testing, and…
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Wawanesa Insurance

Solution Analyst II/Senior

Toronto, ON, Canada
AB, Canada
Winnipeg, MB, Canada
Moncton, NB, Canada
Kitchener, ON, Canada
Montreal, QC, Canada
Vancouver, BC, Canada
Dartmouth, NS, Canada
Calgary, AB, Canada
ON, Canada
Hybrid - Canada, ON, Canada
North York - Toronto, ON (Hybr, ON, Canada
Edmonton, AB (Hybrid), AB, Canada

Working hours: 15 hours per week
Posting language: English
Posted: Sep 21, 2026

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Original job description

Job ID: 10310

Employment Type: Existing Role

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. You may work from any of the following locations: Winnipeg, MB; Wawanesa, MB; Vancouver, BC; Calgary, AB; Edmonton, AB; Lethbridge, AB; Toronto (North York), ON; Kitchener, ON; Ottawa, ON; Montreal, QC; Quebec City, QC, Moncton, NB; Dartmouth; NS.

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: $85,000 - $115,000. Candidates with salary expectations outside of the range are still encouraged to apply.

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

The Solution Analyst (Intermediate or Senior) will be part of our Life Data Squad Delivery team and contribute to Wawanesa’s success by analyzing, designing, documenting, testing, and supporting technology solutions that meet business stakeholder requirements.

The ideal candidate enjoys working in an Agile Scrum team that delivers rapid, high-quality solutions through collaboration, continuous improvement, and quality-driven practices. You will bring experience in business, systems, and/or quality analysis, along with strong technical proficiency in databases, system integrations, and data-driven applications.

The successful candidate will have a strong technical foundation, including proficiency in SQL, understanding of data flows between integrated systems, and familiarity with data modeling concepts. Candidates who demonstrate curiosity or experience in applying AI technologies to improve analysis, automation, or decision-making, or operational efficiency will be well-suited to this evolving role.

Job Responsibilities

Lead the analysis, design and documentation of both system and business requirements for application enhancements and projects.
Lead the requirement sessions with business and system teams.
Collaborate with multiple functions to ensure quality software.
Provide technical and business leadership for developers and Analysts.
Lead the resolution of system and business requirement issues.
Create test strategy, plans and cases based on requirements documentation and defect resolutions.
Coordinate/support planning and execution for projects and initiatives, including allocation of resources.
Estimate and track progress of assigned work.
Follow established practices, processes, and guidelines.
Identify and Lead process and procedure improvements.
Maintain a high level of knowledge on current system standards and IS department established methodologies.
Engage with business partners to understand current and emerging business needs while keeping up with industry trends (business and technology).
Lead the communication of system solutions in business and technical terms.
Analyze and interpret SQL queries to support data validation, reporting, and troubleshooting. 
Investigate and document integration payloads (e.g., JSON, XML) exchanged between applications to ensure data accuracy and system compatibility. 
Collaborate with developers and architects to understand and contribute to data modeling efforts. 
Explore and evaluate opportunities to leverage AI or machine learning tools to enhance solution analysis, data insights, and process efficiency. 
Perform other duties as assigned.

Qualifications

3+ years of experience in business analysis, systems analysis, data analysis, quality assurance, or a related role; 5+ years preferred.
Post-secondary degree, diploma, certificate, or an equivalent combination of education and experience.
Experience supporting, enhancing, and troubleshooting business-critical applications, data solutions, and operational processes.
Strong analytical, problem-solving, and critical-thinking skills with the ability to identify root causes and recommend effective solutions.
Strong business acumen with the ability to translate business needs into scalable technology and data solutions.
Excellent communication and stakeholder management skills, with the ability to effectively engage both technical and non-technical audiences.
Strong organizational and planning skills, with the ability to manage multiple priorities and adapt to changing business needs.
High attention to detail and commitment to delivering quality results.
Demonstrated leadership, facilitation, mentoring, and collaboration skills.
Experience working effectively within cross-functional teams using Agile, Scrum, and continuous delivery practices.
Experience analyzing business and data requirements, data flows, integrations, and end-to-end system processes across multiple platforms.
Strong understanding of relational databases, SQL concepts, data modeling fundamentals, and system integrations.
Ability to interpret, analyze, troubleshoot, and validate SQL queries.
Experience creating Business Requirements Documents (BRDs), user stories, process flows, functional requirements, and solution documentation.

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 [email protected].

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.

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More about this job

Responsibilities

The Solution Analyst will lead the analysis, design, and documentation of system and business requirements for technology solutions within an Agile Scrum team. They will collaborate with cross-functional teams to ensure high-quality software delivery, troubleshoot system issues, and explore AI-driven improvements.

Requirements

Candidates must have at least 3 years of experience in business or systems analysis and a strong technical foundation in SQL and data modeling. A post-secondary degree or equivalent combination of education and experience is required, along with excellent communication and stakeholder management skills.

Skills

SQL
Data modeling
System integration
Business analysis
Systems analysis
Quality assurance
Agile
Scrum
Data validation
Requirement gathering
Technical documentation
Problem-solving
Stakeholder management
AI technologies
Process improvement
Data analysis

Benefits

Annual bonus plan
Leave of absence top-up programs
Generous vacation time
Personal days
Premium free benefits
Pension plan

Visa sponsorship

Not detected in the job text

Keywords

Solution Analyst
SQL
Agile
Scrum
Data Modeling
System Integration
JSON
XML
AI
Machine Learning
Data Analysis
Quality Assurance
Software Development
Process Improvement
Stakeholder Management
Life Insurance
Data Validation
Technical Leadership
Database Management

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