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Bank of Montreal

Manager, Digital Channel Analytics

Reposted An Hour Ago
Be an Early Applicant
In-Office
Toronto, ON
Senior level
In-Office
Toronto, ON
Senior level
The role involves translating business needs into analytical approaches, developing dashboards, and providing insights through data visualization and reporting.
The summary above was generated by AI

Application Deadline:

02/14/2026

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

This is a hybrid role requiring a minimum of 3 days in the Toronto office

Understands and translates digital sales business questions into clear analytical approaches. Develops dashboards, reports, and analytical outputs using appropriate visualization and analytics tools. Uncovers trends, patterns, and key performance drivers to address business needs and deliver actionable insights. Collaborates with cross‑functional teams to refine, automate, and scale analytical work into repeatable reporting, measurement frameworks, and decision‑support solutions.

  • Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.

  • Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.

  • Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.

  • Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.

  • Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.

  • Develops data visualizations of "large" amounts of data that facilitate the intuitive presentation of data to decision makers.

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

  • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.

  • Exercises judgment to identify, diagnose, and solve problems within given rules.

  • Works independently and regularly handles non-routine situations.

  • Broader work or accountabilities may be assigned as needed.

Qualifications:

  • Advanced degree in Mathematics, Statistics, Economics, Computer Science, Engineering, Physics, or equivalent

  • Minimum of 5 years extensive work experience using statistical tools including SAS, SQL, Python, etc.

  • Experience implementing data visualization (Power BI, Tableau, Spotfire)

  • Practical experience applying advanced analytics and algorithms to solve business problems

  • Demonstrated ability to present analytical insights effectively to technical and non-technical stakeholders

Salary:

$69,000.00 - $129,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Top Skills

Power BI
Python
SAS
Spotfire
SQL
Tableau
HQ

Bank of Montreal Toronto, Ontario, CAN Office

First Canadian Place, 100 King Street, Toronto, Ontario, Canada, M5X 1A1

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