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Added 13 mins ago
SL
Sales/Receiving Associate (Full-Time)
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- Full-time
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Added 13 mins ago
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BMO

Manager, Business Banking Analytics

Toronto, ON, Canada
BMOPLACE, Canada

$70,000.00 - $150,000.00 · Full-time

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Job details

Pay: $70,000.00 - $150,000.00
Job type: Full-time
Apply by: Nov 20, 2026
Experience: 3-5 years experience in similar field an asset
Posting language: English
Posted: Nov 2, 2026

Original job description

Application Deadline:

11/19/2026

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

Description

The Manager, Business Banking Analytics is accountable for driving the development, optimization and maintenance of reporting initiatives in line with immediate and long-term business objectives in Canadian P&BB.

This role works collaboratively with partners across DATA, Business Banking and Salesforce teams to support the execution of accurate and efficient reporting solutions for performance tracking and coaching opportunities.

The incumbent is accountable to act as a data and reporting subject matter expert for one or more Business Banking Segment reporting portfolios (i.e. salesforce, channel product lines and/or customer segments). Such reporting is used by leaders within the Business Banking Segment for performance evaluation, to facilitate coaching, and for business decision-making purposes.

They will work other data and analytics professionals to optimize, refine and automate into repeatable analytics solutions and decision support tools.

The successful candidate will combine both technology and business acumen to:

Monitor production processes
Provide ad hoc support for business investigations
Create reports
Troubleshoot technical issues
SME for reporting logic and results to both business and technical users

Specific Accountabilities

Support and develop various scorecard reporting dashboards using the most appropriate data extraction, data cleaning and data visualization techniques
Act as subject matter expert on one or more of BMO’s Business Banking Segment (salesforce, channels, product lines, or customer segments) by becoming intimately familiar with:
- Data in BMO’s various data warehouses
- Develops data analytics using large amounts of data
- Salesforce and/or product business information – including processes, pricing, incentives, product offerings, etc.
Gather and document project requirements
Monitor weekly production processes independently and troubleshoot as needed
Liaise with partners to develop Business Banking models, reports and analytical requirements
Understand business KPIs, including financial measures and other relevant drivers that can help reach business objectives; develop or enhance these as needed
Support development lifecycle from requirements creation, design, build, and testing
Create a framework to improve processes to minimize operational risk and increase team efficiency
Create and implement a strategy to ensure the accuracy, quality, and integrity of models and reporting
Develop, maintain and enhance relationships with business partners, and maintain open lines of communications to keep stakeholders informed and to deal with issues as these arise
Apply continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
Document data flow, systems and processes to improve the design, implementation and management of business/group processes

Qualifications

The ideal candidate will have the following:

Familiarity with data manipulation/analysis tools, including SAS, SQL, Python or equivalent data manipulation software an asset
Experience in working with BMO data, and familiarity with BMO products and operations an asset
The initiative and drive to find solutions and see assignments through to completion
Technical acumen and a willingness and desire to learn new data manipulation tools
Strong communication and writing skills
Works proactively and collaboratively with team members and business partners
Takes initiative and ownership of projects and issues Technical

Requirements

Post-secondary degree in Commerce, Finance, Math, Computer Science, Engineering, Economics, or similar
In-depth understanding of analytical tools and data knowledge
Intermediate experience in SAS, SQL and Python

3-5 years experience in similar field an asset
Hands-on experience working with large-scale analytical processes or models
Experience working with data visualization tools including Power BI
Strong oral and written communication, interpersonal, and team building skills

Salary:

$70,000.00 - $150,000.00

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.

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More about this job

Responsibilities

Develop, optimize, and maintain Business Banking reporting, dashboards, and analytics solutions to support performance tracking, coaching, and business decisions. Serve as a reporting subject matter expert, monitor production processes, troubleshoot issues, and collaborate with business and technical partners to improve data quality and operational efficiency.

Requirements

A post-secondary degree in Commerce, Finance, Mathematics, Computer Science, Engineering, Economics, or a similar field is specified, along with an in-depth understanding of analytical tools and data. The role calls for intermediate SAS, SQL, and Python experience, hands-on work with large-scale analytical processes or models, Power BI experience, and strong communication and collaboration skills; 3–5 years in a similar field is an asset.

Skills

SAS
SQL
Python
Power BI
Data Analysis
Data Visualization
Dashboard Development
Reporting
Data Cleaning
Data Extraction
Business Intelligence
Requirements Gathering
Troubleshooting
Stakeholder Communication
Process Improvement
Data Quality Management

Benefits

Health Insurance
Tuition Reimbursement
Accident Insurance
Life Insurance
Retirement Savings Plans
Performance-Based Incentives
Discretionary Bonuses

Visa sponsorship

Not detected in the job text

Keywords

Business Banking
Canadian Personal and Business Banking
Data Analytics
Reporting
Scorecards
Dashboards
SAS
SQL
Python
Power BI
Data Warehouses
Salesforce
Data Extraction
Data Cleaning
Data Visualization
Large-Scale Analytical Processes
Business Intelligence
Key Performance Indicators
Financial Measures
Business Models
Requirements Gathering
Data Quality
Data Integrity
Process Automation
Operational Risk
Performance Tracking
Coaching
Continuous Improvement

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