Data Analyst

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

• Understand and capture business needs from 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 cause 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

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 & Qualifications

• 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)

Experience

• 1-3 years of experience in analytics roles
• Practical experience with