Manager, Campaign Analysis

📌 Core Information

🔹 Job Title: Manager, Campaign Analysis

🔹 Company: BMO

🔹 Location: Toronto, Ontario, Canada

🔹 Job Type: Full-time, 6-month contract

🔹 Category: Data Analytics & Reporting

🔹 Date Posted: July 8, 2025

🔹 Experience Level: 5-10 years

🔹 Remote Status: Hybrid (4 days in office per week starting September)

🚀 Job Overview

Key aspects of this role include:

• Designing dashboards and analyses to address business questions
• Providing insights through reporting and data visualization techniques
• Working with various teams to enhance data analytics solutions
• Continuously improving data visualization and analytics skills

ASSUMPTION: This role requires a strong background in data analysis and visualization, as well as excellent communication skills to effectively work with various teams and stakeholders.

📋 Key Responsibilities

✅ Designs and implements dashboards and analyses to address business questions

✅ Provides insights through reporting and data visualization techniques

✅ Works with various teams to enhance the usability and aesthetic appeal of data analytics solutions

✅ Researches and applies continuous improvement in data visualization techniques

✅ Translates business needs to technical specifications and evaluates existing data visualization systems

✅ Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users

✅ Documents data flow, systems, and processes to improve the design, implementation, and management of business/group processes

ASSUMPTION: This role requires a high level of independence and problem-solving skills, as well as the ability to work effectively with various teams and stakeholders.

🎯 Required Qualifications

Education: Post-secondary degree in a related field

Experience: 5-7 years of relevant experience

Required Skills:

• Data preparation, analysis, and statistical tool sets (e.g., Spotfire, Tableau, SQL, SAS, R, Python, Power BI)
• Excellent verbal and written communication skills
• Strong collaboration and team skills
• Advanced analytical and problem-solving skills
• Strong influence skills and data-driven decision-making abilities

Preferred Skills:

• Experience with A/B testing or champion/challenger/treatment/control testing

ASSUMPTION: While not explicitly stated, proficiency in English is likely required for this role.

💰 Compensation & Benefits

Salary Range: $69,000.00 - $129,000.00 USD per year

Benefits:

• Health Insurance
• Tuition Reimbursement
• Accident and Life Insurance
• Retirement Savings Plans

Working Hours: Full-time (40 hours per week)

ASSUMPTION: The salary range provided is an estimate based on industry standards for a Manager, Campaign Analysis role in Toronto, Canada. The actual salary may vary based on factors such as experience, education, and performance.

📌 Applicant Insights

🔍 Company Context

Industry: Financial Services

Company Size: 10,001+ employees

Founded: 1817

Company Description:

• BMO is a bank with a focus on personal banking, commercial banking, wealth management, capital markets, and asset management.
• The company is committed to helping its employees succeed both personally and professionally.
• BMO offers a range of learning programs, on-the-job experiences, and opportunities to build personal and professional connections.

Company Specialties:

• Personal Banking
• Commercial Banking
• Wealth Management
• Capital Markets
• Asset Management

Company Website: https://jobs.bmo.com/ca/en

ASSUMPTION: BMO is a well-established financial institution with a strong presence in Canada and the United States. The company values diversity, inclusion, and accessibility in the workplace.

📊 Role Analysis

Career Level: Managerial

Reporting Structure: This role reports to the Head of Data Analytics & Reporting.

Work Arrangement: Hybrid (4 days in office per week starting September)

Growth Opportunities:

• Potential to grow within the Data Analytics & Reporting team or explore other opportunities within BMO.
• Chance to develop leadership and mentoring skills by working with and guiding team members.
• Opportunity to gain experience in a hybrid work environment and enhance remote work skills.

ASSUMPTION: This role offers opportunities for professional growth and development within a large, established organization.

🌍 Location & Work Environment

Office Type: Hybrid (4 days in office per week starting September)

Office Location(s): First Canadian Place, 100 King Street, Toronto, ON M5X 1A1, CA

Geographic Context:

• Toronto is a multicultural city with a population of over 2.9 million people.
• The city offers a wide range of cultural attractions, entertainment, and recreational activities.
• BMO's headquarters is located in the heart of downtown Toronto, providing easy access to public transportation and amenities.

Work Schedule: Full-time (40 hours per week)

ASSUMPTION: The hybrid work arrangement allows for a balance between working from home and collaborating with team members in the office.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screening
• In-depth interviews with hiring managers and team members
• Final round interviews with senior leadership

Key Assessment Areas:

• Data analysis and visualization skills
• Communication and presentation skills
• Problem-solving and critical thinking abilities
• Cultural fit and alignment with BMO's values

Application Tips:

• Highlight relevant experience and skills in your resume, focusing on data analysis, visualization, and communication.
• Prepare for behavioral and situational interview questions that focus on your problem-solving, decision-making, and leadership skills.
• Research BMO's company culture and values to demonstrate your cultural fit and alignment.

ATS Keywords: Data Analysis, Data Visualization, SQL, Python, Tableau, SAS, R, Power BI, A/B Testing, Statistical Tool Sets, Collaboration, Problem Solving, Communication, Decision Making, Training, Consulting

ASSUMPTION: BMO uses an Applicant Tracking System (ATS) to manage and screen job applications. Including relevant keywords in your resume can help your application pass through the ATS and increase your chances of being considered for an interview.

🛠️ Tools & Technologies

• Spotfire
• Tableau
• SQL
• SAS
• R
• Python
• Power BI

ASSUMPTION: Proficiency in these tools and technologies is essential for success in this role.

👔 Cultural Fit Considerations

Company Values:

• Bold
• Grow
• The Good

Work Style:

• Collaborative
• Data-driven
• Innovative

Self-Assessment Questions:

• Do you align with BMO's values of being bold, growing, and doing what's right?
• Are you comfortable working in a hybrid environment, balancing remote work and in-office collaboration?
• Do you have strong communication and presentation skills to effectively work with various teams and stakeholders?

ASSUMPTION: BMO values a strong cultural fit and looks for candidates who align with their core values and work style.

⚠️ Potential Challenges

• Managing multiple projects and deadlines in a fast-paced environment
• Working with large datasets and complex data visualization tools
• Collaborating effectively with various teams and stakeholders, including non-analytical end users
• Adapting to a hybrid work arrangement and balancing remote work and in-office collaboration

ASSUMPTION: These challenges can be overcome with strong project management skills, technical proficiency, excellent communication, and a willingness to adapt to new work arrangements.

📈 Similar Roles Comparison

• This role differs from other data analyst positions in its focus on campaign analysis and providing insights through reporting and data visualization techniques.
• Industry-specific context: The financial services industry requires a strong understanding of data analysis, visualization, and communication to effectively work with various teams and stakeholders.
• Career path comparison: This role offers opportunities for professional growth and development within a large, established organization, with potential to move into leadership or management positions.

ASSUMPTION: This role offers unique opportunities and challenges compared to other data analyst positions, with a focus on campaign analysis and providing insights through reporting and data visualization techniques.

📝 Sample Projects

• Developing a dashboard to analyze campaign performance and provide insights to stakeholders
• Creating a data visualization to communicate complex data trends and patterns to non-analytical end users
• Optimizing and automating analysis processes to improve efficiency and scalability

ASSUMPTION: These sample projects demonstrate the key responsibilities and required skills for this role, focusing on data analysis, visualization, and communication.

❓ Key Questions to Ask During Interview

• Can you describe the team structure and how this role fits within the organization?
• How does this role contribute to the overall success of the company's data analytics and reporting efforts?
• What are the key priorities for this role in the first 30, 60, and 90 days?
• How does BMO support the professional growth and development of its employees?
• What is the company's approach to work-life balance and flexible work arrangements?

ASSUMPTION: These interview questions help assess the role's fit within the organization, the company's priorities, and the opportunities for professional growth and development.

📌 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 in data analysis, visualization, and communication.
• Prepare for behavioral and situational interview questions that focus on your problem-solving, decision-making, and leadership skills.
• Research BMO's company culture and values to demonstrate your cultural fit and alignment.
• Follow up with the hiring manager one week after submitting your application to express your interest and reiterate your qualifications.

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.