Reporting Data Analyst - 12 Month Contract
- Winnipeg, MB
- Hybrid
- Posted Oct 21, 2026
- 1 position
$59,800–$99,700 / year
Opens an external site
- Employment type
- Full-time, Temporary
- Experience level
- Mid-level · 2+ years
- Minimum education
- Professional degree
- Apply by
- Nov 4, 2026
- Posting language
- English
- Working hours
- 40 hours per week
Job summary
The Reporting Data Analyst will develop, implement, and maintain analytics solutions to support business decision-making and performance monitoring. They will translate business requirements into data projects, manage large datasets, and present actionable insights to senior leadership.
Job details
Temporary Full Time - We are looking for a Reporting Data Analyst. As a Reporting Data Analyst, you will join Canada Life’s Canada Operations & Business Enablement, Information Management team. In this role you will support all Canada Operations and Business Enablement teams with the development, implementation, and maintenance of analytics solutions ranging from descriptive and diagnostic to predictive. The Analyst, Data & Analytics supports decision making, monitors business performance, and provides actionable insights using analytics and statistical techniques. In this role, you will assist in modelling, analysing, and predicting business processes. You will translate business requirements into data, reporting, and analytics projects, which you will support throughout their entire lifecycle. What you will do Translate business needs into data requirements, collect, integrate, clean, explore, model, and analyze large datasets and visualize results and present to business leaders Build, implement and maintain data models, custom reports, and dashboards Work with large datasets that are not consistent, clean, or fully modelled Communicate effectively and demonstrate critical thinking and business acumen. Define, implement, and monitor metrics and KPIs and ensure ongoing strategic alignment with short and long-term business objectives Enable effective, efficient working relationships with business partners Work closely with senior leaders to understand business drivers and enable them to make decisions based on data Support projects throughout the entire analytics lifecycle Present and communicate insights and recommendations in a visual and simplified manner What you will bring 1-3 years of relevant experience and a bachelor’s degree in a related field of study, or an equivalent combination of education and experience Microsoft Certified: Power BI Data Analyst Associate (PL-300) certification is preferred Demonstrated experience in working with data analytics tools (SQL, Python), Databases (SQL Server), Cloud (Azure, Databricks), data visualisation tools (Power BI) with experience at creating interactive dashboards Ability to write efficient SQL and Python queries to extract, integrate, and transform data from multiple sources, and to automate data pipelines Proficiency in Power BI, Data Modelling, Power Query, and DAX Microsoft Power BI Data Analyst (PL‑300) certification preferred Experience working with raw data and manipulating large datasets Good knowledge in data analytics and statistical modelling Strong communication and presentation skills Proven ability to learn quickly and independently and handle multiple priorities in a challenging work environment Experience within the Financial Services sector would be an asset - The base salary for this position is between $59,800 - $99,700 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you. Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis. Grow with Canada Life We’re united by a shared purpose: to improve the financial, physical and mental well-being of Canadians. Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country. We’re looking for people who live our values everyday: we step up, we do the right thing, and we deliver – for our customers, communities and each other. Are you someone who always strives to do the right thing, who steps up for themselves and others, and who delivers with impact? Then we want to hear from you! What we offer: We’re committed to supporting our employees through every stage of their career. Here’s what you can expect as a full-time or part-time permanent team member: Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to $2,000 annually towards education reimbursement. Health & Wellness: Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being. Time Off: In addition to regular vacation and personal days, we support community involvement with a volunteer day. Financial Security: Company-matching pension plan, share ownership program and additional investment options. Rewards and Recognition: Employee recognition programs, service milestone celebrations, employee discounts and more! Emphasis on Community: We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events. Learn more about Canada Life. We’re committed to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contact talentacquisitioncanada@canadalife.com. All information provided will be handled in accordance with applicable laws and Canada Life policies. Canada Life would like to thank all applicants, however only those who qualify for an interview will be contacted. #LI-Hybrid
What you’ll do
The Reporting Data Analyst will develop, implement, and maintain analytics solutions to support business decision-making and performance monitoring. They will translate business requirements into data projects, manage large datasets, and present actionable insights to senior leadership.
Requirements
Candidates should have 1-3 years of relevant experience and a bachelor's degree in a related field. Proficiency in SQL, Python, and Power BI is required, with a preference for the Microsoft Certified: Power BI Data Analyst Associate (PL-300) certification.
Benefits
- Health benefits
- Dental benefits
- Mental health benefit
- Pension plan
- Share ownership program
- Education reimbursement
- Volunteer day
- Employee discounts
Listed skills
- Microsoft Azure · Preferred
- Data visualization · Preferred
- Power BI · Preferred
- SQL · Preferred
- Data analysis · Preferred
- Communication · Preferred
- Critical Thinking · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- SQL
- Python
- Power BI
- Data modelling
- Data visualization
- Statistical modelling
- Azure
- Databricks
- Data analysis
- Critical thinking
- Business acumen
- KPI monitoring
- Data extraction
- Data transformation
- Dashboard development
- Communication
- SQL (Programming Language)
- Data Visualization
- Data Analysis
- Dashboard
- Mentorship
- Business Process
- Data Analysis Expressions (DAX)
- Presentations
- Data Modeling
- Key Performance Indicators (KPIs)
- Operations
- Business Acumen
- Business Requirements
- Decision Making
- Data Pipelines
- Financial Services
- Python (Programming Language)
- Business Objectives
- Forecasting
- Critical Thinking
- Statistics
- Mental Health
- Quick Learning
- Data Reporting
- Microsoft Certified Professional
- Information Management
- Statistical Modeling
- Strategic Alignment
- Azure Databricks
Job areas
- Data & Analytics
- Technology
- Finance & Accounting
- Software
- Data and Reporting Analyst
- Data Analyst
- Statistical, Mathematical and Related Associate Professionals
- Business Intelligence Analysts
- Data Scientists
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