π Core Information
πΉ Job Title: Analyst, Marketing Data Valorization
πΉ Company: Desjardins
πΉ Location: MontrΓ©al, LΓ©vis
πΉ Job Type: Full-Time, Hybrid
πΉ Category: Data, Analytics
πΉ Date Posted: May 29, 2025
πΉ Experience Level: 2-5 years
πΉ Remote Status: On-site (with hybrid option)
π Job Overview
Key aspects of this role include:
- Collecting and valorizing data from various channels to support marketing campaigns and performance measurement
- Providing advisory services to marketing teams to identify relevant targets and optimize activities
- Securing targeting operations for relationship marketing, digital campaigns, and marketing research activities
- Measuring the performance of marketing activities and sharing results
ASSUMPTION: This role requires a strong analytical mindset, proficiency in data analysis tools, and excellent communication skills to effectively collaborate with marketing teams and other stakeholders.
π Key Responsibilities
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Provide advisory services to marketing teams to help them identify relevant targets and optimize their activities based on data, analytics, and performance metrics
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Secure targeting and performance measurement operations for relationship marketing, digital campaigns, and marketing research activities
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Target and orchestrate Desjardins Groupβs relationship and digital marketing activities for all types of communications
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Measure the performance of relationship marketing activities and digital campaigns using various analyses and share the results
ASSUMPTION: This role involves working closely with various teams and requires strong problem-solving skills, adaptability, and the ability to manage multiple projects simultaneously.
π― Required Qualifications
Education: Bachelor's degree in a related field
Experience: A minimum of two years of relevant experience in data valorization
Required Skills:
- Proficiency in French
- Proficiency with database structures
- Proficiency with SAS or SQL
- Proficiency in resolving data extraction and valorization issues
- Proficiency in writing documentation
- Proficiency with a data visualization tool
Preferred Skills:
- Experience with marketing automation tools
- Knowledge of the financial industry
ASSUMPTION: Candidates with relevant experience in data analysis, marketing, or a related field may be considered even if they do not meet the exact education requirements.
π° Compensation & Benefits
Salary Range: CAD 60,000 - CAD 80,000 per year (based on industry standards for a role of this level in the Montreal area)
Benefits:
- Competitive salary and annual bonus
- 4 weeks of flexible vacation starting in the first year
- Defined benefit pension plan
- Group insurance including telemedicine
- Reimbursement of health and wellness expenses and telework equipment
Working Hours: Full-time, with flexible hours and a hybrid work arrangement (2-3 days on-site per week)
ASSUMPTION: The salary range provided is an estimate based on industry standards and may vary depending on the candidate's experience and qualifications.
π Applicant Insights
π Company Context
Industry: Banking. Desjardins is the largest cooperative financial group in North America and the fifth largest cooperative financial group in the world.
Company Size: 10,001+ employees. As a large organization, Desjardins offers numerous opportunities for career growth and development.
Founded: 1900. Desjardins has a long history and a strong reputation in the financial industry.
Company Description:
- Desjardins Group is the largest cooperative financial group in North America and the fifth largest cooperative financial group in the world, with assets of CAD 435.8 billion as of March 31, 2024.
- It offers a full range of products and services to individuals and businesses through its extensive distribution network, online platforms, and subsidiaries across Canada.
- Desjardins is ranked among the world's strongest banks and has some of the highest capital ratios and credit ratings in the industry.
Company Specialties:
Company Website: http://www.desjardins.com/fr/bienvenue.jsp
ASSUMPTION: Desjardins is a well-established and reputable financial institution with a strong focus on cooperative values and community involvement.
π Role Analysis
Career Level: Mid-level. This role is suitable for candidates with 2-5 years of relevant experience seeking to advance their careers in data analysis and marketing.
Reporting Structure: This role reports directly to the Manager, Marketing Automation and Performance Measurement.
Work Arrangement: Hybrid. The role requires working on-site 2-3 days per week, with the remaining days worked remotely.
Growth Opportunities:
- Advancement to senior analyst or team lead roles within the department
- Opportunities to work on cross-functional projects and collaborate with other departments
- Professional development and training opportunities
ASSUMPTION: This role offers strong potential for career growth and development within the organization.
π Location & Work Environment
Office Type: Modern, collaborative office space with state-of-the-art technology and amenities.
Office Location(s): 1 Complexe Desjardins, Montreal, QC H2X
Geographic Context:
- MontrΓ©al is a vibrant, multicultural city with a high quality of life, offering numerous cultural attractions, restaurants, and outdoor activities.
- LΓ©vis is a city located across the St. Lawrence River from Quebec City, offering a mix of urban and suburban living with easy access to nature and outdoor activities.
Work Schedule: Full-time, with flexible hours and a hybrid work arrangement (2-3 days on-site per week)
ASSUMPTION: The hybrid work arrangement offers a good balance between on-site collaboration and remote work flexibility.
πΌ Interview & Application Insights
Typical Process:
- Online application and resume screening
- Phone or video screening with the hiring manager
- In-person or virtual interview with the hiring manager and team members
- Final interview with the department director
Key Assessment Areas:
- Data analysis and problem-solving skills
- Communication and presentation skills
- Cultural fit and alignment with Desjardins' values
- Technical proficiency in data analysis tools
Application Tips:
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role
- Demonstrate your proficiency in data analysis and visualization tools through examples or projects
- Showcase your ability to communicate complex data insights effectively
ATS Keywords: Data valorization, data analysis, SAS, SQL, marketing analytics, performance measurement, advisory services, relationship marketing, digital campaigns, marketing research
ASSUMPTION: Desjardins uses an Applicant Tracking System (ATS) to screen and manage job applications, so including relevant keywords in your resume can improve your chances of being selected for an interview.
π οΈ Tools & Technologies
- SAS or SQL
- Data visualization tools (e.g., Tableau, Power BI)
- Marketing automation tools (e.g., Adobe Campaign, Marketo)
ASSUMPTION: Proficiency in SAS or SQL is required for this role, while experience with marketing automation tools is preferred but not essential.
π Cultural Fit Considerations
Company Values:
- Member-centricity
- Integrity
- Expertise
- Innovation
- Cooperation
Work Style:
- Collaborative and team-oriented
- Data-driven and analytical
- Adaptable and responsive to change
- Results-focused and accountable
Self-Assessment Questions:
- How do you demonstrate member-centricity in your work?
- Can you provide an example of a time when you had to adapt to a significant change in your work environment?
- How do you ensure the accuracy and integrity of your data analysis and reporting?
ASSUMPTION: Desjardins places a strong emphasis on cultural fit and alignment with its core values, so applicants should be prepared to demonstrate how their personal values and work style align with the company's.
β οΈ Potential Challenges
- Managing multiple projects and priorities simultaneously
- Working with large and complex datasets
- Collaborating effectively with non-technical stakeholders
- Adapting to changes in marketing strategies and priorities
ASSUMPTION: This role may present challenges related to data management, stakeholder communication, and adaptability to changing priorities.
π Similar Roles Comparison
- Compared to a Marketing Analyst role, this position has a stronger focus on data valorization and performance measurement, with less emphasis on market research and segmentation.
- In contrast to a Data Scientist role, this position is more focused on applying data analysis to support marketing activities, rather than developing predictive models or machine learning algorithms.
- Career progression in this role could lead to senior analyst or team lead positions within the department, or to roles in related fields such as market research or marketing strategy.
ASSUMPTION: This role is distinct from related positions in its focus on data valorization and performance measurement for marketing activities.
π Sample Projects
- Developing and implementing a data-driven targeting strategy for a marketing campaign
- Analyzing and reporting on the performance of digital marketing channels
- Identifying and addressing data quality issues in marketing databases
ASSUMPTION: These sample projects illustrate the types of data analysis and valorization tasks that may be required in this role.
β Key Questions to Ask During Interview
- Can you describe the team structure and how this role fits within it?
- How does this role support the overall marketing strategy for Desjardins?
- What opportunities are there for professional development and growth within this role?
- How does Desjardins support work-life balance for its employees?
- Can you provide an example of a recent marketing campaign and the data-driven insights that contributed to its success?
ASSUMPTION: These interview questions are designed to help applicants better understand the role, the team, and the company culture.
π Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role
- Prepare examples or projects that demonstrate your proficiency in data analysis and visualization tools
- Follow up with the hiring manager one week after submitting your application to express your interest in the role
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.