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Added 17 days ago
Associate Director, Compliance
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Toronto, ON
Added 17 days ago
Software Developer Sr (AI Platform & Applications)
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We are looking for a Senior Software Developer to join the team building AI-powered capabilities within the Dayforce platform. This role is ideal for an experienced software engineer who…
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Senior Developer (T & I) (Telework/Hybrid)
CBC/Radio-Canada
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- Full-time
…team is currently seeking a creative, qualified and talented developer. Based in Montreal as part of a cross-functional team, you will focus primarily on integrating and developing…
Added 18 days ago
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Added 18 days ago
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Added 18 days ago
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ORCA Learning Designer
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Vancouver, BC · UBCV | Institute for Computing Information and Cognitive Systems / Computer Science Building (ICCS)
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Data Scientist II
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Sr Cloud Data Engineer
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Analyst, Customer Experience
BMO
Toronto, ON · YNG
- Full-time
· 3+ years of experience using SAS, SAS Macros, DBMS, Python.
Added 18 days ago
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TekWissen ®
Markham, ON
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- Contract
Ability to program in C, C++, and scripting languages (Python, Perl, etc.).
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Application Developer
IBM
Ottawa, ON
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As an Application Developer, you will develop, support, and maintain applications.
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Senior Developer (T & I) (Telework/Hybrid)
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Application Developer III
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Senior Data Scientist
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AI Quality and Evaluation Lead
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BMO

Analyst, Customer Experience

Toronto, ON, Canada
YNG, Canada

$55,500.00 - $120,000.00 · Full-time

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Job details

Pay: $55,500.00 - $120,000.00
Job type: Full-time
Posting language: English
Posted: Oct 21, 2026

Original job description

Application Deadline:

10/27/2026

Address:

250 Yonge Street

Job Family Group:

Data Analytics & Reporting

ROLE

The Analyst, Customer Loyalty will maintain, develop, and implement customer experience/loyalty programs for the organization across multiple lines of business and delivery channels. Working with both the Customer Loyalty and cross functional teams, the incumbent will apply technical, business, and analytical knowledge together with a deep understanding of customer loyalty to assess and help improve customer loyalty programs across the organization. The role also requires that a strategic plan be maintained for setting priorities and effectively executing program deliverables.

SPECIFIC ACCOUNTABILITIES

Program Development and Management:

· Build and enhance procedures and processes aimed at optimizing customer contact execution for loyalty programs across the organization - ensure all work is fully tested and vetted prior to implementation.

· Create business and technical requirements and supporting documentation to facilitate loyalty program builds and knowledge retention.

· Write, test, and manage the successful implementation of computer coding changes applied when fixing, updating, and/or creating net new programs.

· Develop and maintain data quality procedures and processes aimed at ensuring the quality and currency of data and procedures used in loyalty programs is maintained and enhanced. Propose improvements as needed to ensure the most reliable and current information is utilized.

· Perform complex manipulation of data to restructure data for analysis, create and maintain database tables, and create output files for vendors.

· Ensure the ongoing successful execution of loyalty programs is maintained including the timely production and loading of all sample files and vendor response files.

· Ensure governance and controls are in place to securely transmit and receive customer information to/from external vendors.

· Cultivate strong working relationships with business and technical teams and leaders to ensure loyalty programs are maintained and developed successfully and are aligned with current and future business and technical needs.

Business Analytics and Insights:

· Conduct data and business analysis of loyalty and customer data in order to generate insights and recommend potential improvements across programs.

· Monitor and assess loyalty program data and performance to proactively identify trends, potential enhancements, and resolve any issues that may occur.

· Provide thought and applied leadership on loyalty analysis and insights. Work with cross-functional teams to develop analysis of loyalty programs; work with these teams to leverage business knowledge and insights aimed at driving loyalty improvement for the organization.

· Monitor and communicate loyalty program performance to business and technical stakeholders on a regular basis.

Strategy and Planning:

· Maintain a strategic roadmap for customer loyalty program technical builds and analytical projects.

· Work with data, technical, and business teams to develop data infrastructure and processes that support effective loyalty program execution, automation, and analytics.

· Assess and prioritize the development and execution of loyalty programs while recognizing the integrated environment programs operate within. Ensure priorities align to organizational priorities.

EDUCATION and EXPERIENCE

· Minimum Bachelor’s degree required in business, statistics, research, computer science or equivalent combination of education and experience.

· 3+ years of experience in analysis of loyalty and/or customer information.

· 3+ years of experience using SAS, SAS Macros, DBMS, Python.

· 3+ years of hands-on technical and functional experience as a practitioner of data analytics and statistical methodologies.

· Good knowledge of data analysis, business analysis, and statistics to drive actionable insights from data. Ability to apply business acumen to make decisions aligned with business goals and strategy.

SUMMARY QUALIFICATIONS

· Strong leadership, technical, functional and business skills to discuss, negotiate and influence at all levels in the organization.

· Excellent relationship building skills at all levels within the organization.

· Demonstrated expert in developing and managing programs, preferably in a complex organization with multiple lines of business.

· Extensive experience in SAS program development and maintenance.

· Experience using Python for development and analytical projects.

· Experience with large transactional and customer-oriented relational databases. Familiarity across a broad range of data analysis, statistical analysis and programming tools, environments and techniques including SAS, SQL, Python, Sybase, and Linux/Unix.

· Ability to relate analytical expertise to business problems, formulate business recommendations and communicate effectively to a non-analytical audience.

· Excellent time and resource management skills, flexibility and resourcefulness to interface and collaborate with internal and external groups.

· Knowledge and ability to develop and apply data analysis to business and strategic issues.

· Excellent communication and presentation skills (both written and verbal).

· Working efficiently and accurately is essential.

Salary:

$55,500.00 - $120,000.00

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

The analyst will develop and manage customer loyalty programs by applying technical and analytical knowledge to improve program performance. They will also collaborate with cross-functional teams to generate business insights and maintain a strategic roadmap for technical builds.

Requirements

Candidates must hold at least a bachelor's degree in a relevant field and possess 3+ years of experience in data analytics and loyalty program management. Proficiency in SAS, Python, and relational database management is required for this role.

Skills

SAS
Python
Data analysis
Business analysis
Statistics
SQL
Database management
Customer loyalty programs
Strategic planning
Data quality management
Technical documentation
Relationship building
Communication skills
Presentation skills
Project management
Analytical methodologies

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

SAS
Python
SQL
Sybase
Linux
Unix
Data Analytics
Customer Loyalty
Business Intelligence
Statistical Analysis
Database Management
Data Quality
Strategic Planning
Relationship Management
Reporting
Customer Experience
Technical Requirements
Automation
Business Acumen
Vendor Management
Data Infrastructure
Performance Monitoring
Analytical Modeling
Governance
Controls
Data Manipulation
Cross-functional Collaboration
Project Roadmap
Business Analysis
Customer Insights

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