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Brother Canada

Data Analyst

1 rue Hotel de Ville, Dollard-Des Ormeaux, QC, H9B 3H6, Canada

Apply by: Sep 22, 2027
Experience: 1-3 years of experience in analytics roles
Posting language: English
Posted: Sep 22, 2026

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Original job description

Company Overview

Brother is a leading provider of home and office equipment, sewing and crafting products, and industrial solutions. With a legacy spanning over 115 years, our brand is renowned for producing award-winning printers, sewing machines, P-touch labelers, and more. Brother Canada was established in 1960, marking over 65 years of operations. Brother Canada is headquartered in Dollard-des-Ormeaux, Quebec and is a wholly owned subsidiary of Brother International Corporation (BIC), based in the United States. BIC is in itself a subsidiary of Brother Industries Limited (BIL), which was founded in 1908 in Nagoya, Japan and operates in more than 30 countries worldwide.
Why Work at Brother?

At Brother Canada, we’re more than a team; we’re a community guided by our culture drivers of Accountability, Authenticity, Excellence, and Boldness. We foster collaboration, growth, and work-life balance through flexible hours, hybrid work options, wellness subsidies, learning and development, recognition programs, and employee discounts. With roots in Montreal since 1960, we embrace continuous improvement and a culture of “Challenging Spirit,” offering stability while delivering a superior customer experience.
Role Overview

Reporting to the Director, Analytics & Insights, the Data Analyst enables better, faster and simpler decisions through data and science. They generate valid, reliable and timely insights for business operations and strategic initiatives, drive go-to-market tactics through effective performance analysis and ensure that internal customers’ needs are met, and that operational excellence is improved and maintained. The Data Analyst works closely with the rest of the analytics team to build and maintain tools and processes that enable the manipulation and transformation of data across multiple platforms. They have the mandate to automate processes and imbed data science principles to enhance decision making processes. They meet with stakeholders to gather business requirements, translate them into technical requirements, execute development deliverables, test functionalities, address ad-hoc requests, execute data-related standard operating procedures and manage stakeholder expectations along the way. Additionally, the Data Analyst builds, maintains and enhances reports and dashboards as part of their business intelligence responsibilities. Finally, the Data Analyst commits to enhancing customer experience and identifies, plans and executes continuous improvement endeavours accordingly.

Duties & Responsibilities

Analysis & reporting

- Understand and capture business needs form stakeholders to analyze and track the performance of their activities
- Gather requirements and prepare formal requirements documents
- Develop statements of work to secure buy-in from stakeholders regarding analysis methods, timelines, roles and responsibilities and deliverable formats
- Develop new reports, plus enhance and maintain reports and dashboard in Tableaus
- Generate valid and reliable insights by designing analysis methodologies and executing analysis projects that are repeatable and that produce statistically significant results
- Address ad-hoc reports and analysis requests
- Communicate execution progress through written status updates

Data management and quality assurance

- Build processes to manipulate, transform and extract insights from datasets across various types of data sources using Python and Pandas
- Troubleshoot and perform root case analysis activities to resolve technical challenges and recommend scalable solutions
- Formulate, maintain, and enhance ETL pipelines
- Migrate databases from local servers into cloud data warehouses (AWS, Azure Databricks)
- Transform, refactor, and deploy ETL and ML models to production level in a virtual or cloud-based system (AWS, Azure Databricks)
- Assemble large datasets from various data sources for prescriptive and predictive analytics
- Flag data integrity issues and execute quality assurance procedures

Experience & Qualifications

Education:

- Bachelor’s Degree specializing in Business Administration, Economics, Computer Science, Analytics, Computer Engineering, Information Systems, Applied Math/Statistics, or related fields
- Master’s degree is an asset (MBA, MSc, MMA, etc.)

Experience:

- 1-3 years of experience in analytics roles
- Practical experience with statistics and research methods (quantitative and qualitative)
- Experience in understanding departmental needs and in building effective, positive partnerships to work collaboratively with cross-functional business teams (technical and non-technical stakeholders)

Technical Skills:

- Ability to articulate results and communicate conclusions eloquently
- Proficiency at analyzing large data sets from multiple sources through efficient database tools and methods
- Advanced proficiency with Python, SQL, etc
- Knowledge of Python ML Libraries such as Sci-kit Learn and TensorFlow
- Experience with big data tools like Apache Spark, Pandas and Polars
- Knowledge of cloud-based systems like AWS and development tools like Git, Bash, Yaml are a plus
- Advanced working knowledge with relational SQL and NoSQL databases i.e. MySQLand formulating/manipulating complex queries
- Knowledge of Tableau

Other:

- Detail-oriented, self-motivated and time-efficient
- Flexible and can adapt quickly to an ever-changing environment
- Capable of working in high-pressure, time-constrained situations

Additional Details for This Role

Hybrid Work Setting – Enjoy the flexibility of a hybrid model, with three days working remotely and two days in the office each week, supporting work-life balance and meaningful in-person collaboration. Exceptions may apply according to business needs. #atyourside

Our Benefits

We believe benefits should empower you to thrive at work and beyond. Our health and wellness benefits go beyond the basics, with medical, dental, vision, mental health support, financial advisors, and fitness programs to keep your mind and body in top shape. We’re big believers in recharging your batteries, with flexible vacation, personal days, summer hours, and a company-wide holiday shutdown so you can enjoy real downtime. Our retirement plan helps your savings grow faster with matching contributions and extra perks like a TFSA and mortgage benefits. And because growth fuels success, we invest in you with development programs, from LinkedIn Learning and Brother curated learnings to tuition reimbursement and personalized development plans. But it’s not all work, we love to celebrate! From BBQs to gala nights and our STAR recognition program, your wins get noticed and rewarded. At Brother Canada, we are truly At Your Side, supporting your success every step of the way.
Our Mission, Vision & Culture

Our mission is to live our “at your side” promise to simplify and enrich the lives of our customers, employees, and communities. We aim to be where people and technology meet, providing products and solutions that enhance how people live, work, and create. We look to our strategic culture drivers - accountability, authenticity, boldness, and excellence - to enable us to consistently deliver on our vision, mission, and shared values. These drivers help us shape a culture that empowers the business to succeed.
About Where We Work

Brother Canada’s head office and distribution centre in Montreal’s West Island is at the heart of our operations, housing teams in Marketing, Sales, Customer Experience, HR, IT, Finance, Supply Chain, and more. Our sales office in Mississauga, Ontario, and distribution centre in Richmond, British Columbia, support our coast-to-coast operations. We collaborate across Canada and Brother Americas - always At Your Side.
Equal Opportunity Employer (EOE) Statement

At Brother Canada, we strive to provide an environment where everyone feels valued by respecting individual differences and welcoming diverse life and work styles. We are an equal opportunity employer and do not discriminate or make employment decisions on the basis of race, colour, religion, sex, disability, or any other protected characteristic.

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More about this job

Responsibilities

The Data Analyst generates reliable insights to support business operations and strategic initiatives through performance analysis and data science. They are responsible for building and maintaining ETL pipelines, dashboards, and automated tools to enhance decision-making processes.

Requirements

Candidates must hold a Bachelor's degree in a relevant field such as Business, Computer Science, or Statistics, with 1-3 years of experience in analytics. Proficiency in Python, SQL, and data visualization tools like Tableau is required, along with strong communication skills for stakeholder management.

Skills

Data analysis
Python
SQL
Tableau
ETL pipelines
Machine learning
Pandas
Apache Spark
Polars
AWS
Azure Databricks
Statistical analysis
Data integrity
Requirement gathering
Database management
Git

Benefits

Medical insurance
Dental insurance
Vision insurance
Mental health support
Financial advisors
Fitness programs
Flexible vacation
Personal days
Summer hours
Company-wide holiday shutdown
Retirement plan with matching contributions
TFSA
Mortgage benefits
Tuition reimbursement
LinkedIn Learning
Employee discounts

Visa sponsorship

Not detected in the job text

Keywords

Data Analyst
Analytics
Python
SQL
Tableau
ETL
Machine Learning
Pandas
Apache Spark
Polars
AWS
Azure Databricks
NoSQL
MySQL
Git
Bash
Yaml
Sci-kit Learn
TensorFlow
Data Integrity
Business Intelligence
Prescriptive Analytics
Predictive Analytics
Root Cause Analysis
Data Science
Dashboarding
Stakeholder Management
Continuous Improvement
Quantitative Analysis
Qualitative Analysis

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