Advisor, Marketing Data Analysis and Valorization

Required The Business Intelligence and Member/Client Analytics Department leads the development and promotion of member/client knowledge in data analysis and valorization to support strategic decision-making among marketing partners. As a marketing data analysis and valorization advisor, you contribute to the use and valorization of data collected from various channels. You extract, describe, analyze and interpret the data needed to make informed business decisions. You assist partners in the Marketing and Market Development Division on analytics development initiatives that involve using data and designing reports tailored to business needs. You prepare recommendations, solutions and action plans based on the organization’s objectives and priorities. You interact with stakeholders working in other fields to understand needs and present and explain analysis results. More specifically, you will be required to: Identify and analyze partner needs, work on data valorization initiatives including the development of indicators and dashboards, and ensure operationalization through the cross-sector coordination required Build and develop self-service reports by using database management systems, and make recommendations to support business decision-making Help marketing partners define their needs, make recommendations and provide advice for selecting, implementing and using data management tools Conduct descriptive and diagnostic analysis to ensure optimal data use. Make recommendations in line with business issues and needs Identify opportunities to improve methods and processes, and recommend improvements to data management tools What we offer* Competitive salary and annual bonus 4 weeks of flexible vacation starting in the first year Defined benefit pension plan that provides predictable, stable income throughout retirement Group insurance including telemedicine Reimbursement of health and wellness expenses and telework equipment Benefits apply based on eligibility criteria. What You Bring To The Table Bachelor's degree in a related field A minimum of four years of relevant experience Please note that other combinations of qualifications and relevant experience may be considered Knowledge of French is required Proficiency in SAS/SQL programming Proficiency with data visualization tools such as Tableau or Power BI Knowledge of storytelling techniques Action oriented, Business insight, Complexity, Customer Focus, Differences, Nimble learning Equity, Diversity, Inclusion and Accessibility At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve. If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask! Trade Union (If applicable) Job Family Data (FG) Unposting Date 2026-08-26

The advisor extracts and analyzes data from various channels to support strategic decision-making for marketing partners. They are responsible for developing self-service reports, dashboards, and providing recommendations to optimize data management tools.

Candidates must have a bachelor's degree and at least four years of relevant experience. Proficiency in SAS/SQL, data visualization tools like Tableau or Power BI, and knowledge of French are required.

• Competitive salary • Annual bonus • Flexible vacation • Defined benefit pension plan • Group insurance • Telemedicine • Health and wellness expenses reimbursement • Telework equipment reimbursement

• Power BIPreferred
• SQLPreferred
• TableauPreferred
• Data analysisPreferred

Identified from the job description. Confirm important requirements above.

• Data Analysis
• Data Valorization
• SAS
• SQL
• Tableau
• Power BI
• Storytelling
• Dashboard Development
• Descriptive Analysis
• Diagnostic Analysis
• Business Intelligence
• Stakeholder Management

• Data & Analytics
• Marketing
• Technology
• Finance & Accounting
• Consulting

Minimum education

Bachelor’s degree

Minimum experience

2+ years

Apply by

Sep 11, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level