Data Analyst

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 embed 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 endeavors accordingly.

Duties & Responsibilities

Analysis & Reporting

• 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 & responsibilities, and deliverable formats.
• Develop new, enhance, and maintain reports and dashboards in Tableau.
• 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.

Experience & Qualifications

• 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.).
• 1–3 years of experience in analytics roles.
• Has practical experience with statistics and research methods (quantitative and qualitative).
• Ability to articulate results and communicate conclusions eloquently.
• Can analyze large data sets from multiple sources through efficient database tools & methods.
• Experience in understanding departmental needs and in building effective, positive partnerships to work collaboratively with cross‑functional business teams (technical and non‑technical stakeholders).
• 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, Azure and development tools like Git, Bash is a plus.
• Advanced working knowledge with relational SQL and NoSQL databases, e.g., MySQL, and formulating/manipulating complex queries.
• Knowledge of Tableau.
• Is detail‑oriented, self‑motivated and time‑efficient.
• Is flexible and can adapt quickly to an ever‑changing environment.
• Is capable of working in high‑pressure, time‑constrained situations.

Benefits

Hybrid Work Setting – The flexibility to work remotely or in the office enhances work‑life balance and strengthens our sense of Brother Community and Team Spirit.

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.

Equal Opportunity Employer

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.