Data Analyst, Dollard-des-Ormeaux

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 while improving operational excellence.

The Data Analyst works closely with 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, embed data science principles to enhance decision making, gather business requirements, translate them into technical requirements, deliver development solutions, test functionalities, address ad-hoc requests, execute data‑related standard operating procedures, and manage stakeholder expectations. Additionally, the Data Analyst builds, maintains and enhances reports and dashboards as part of their business intelligence responsibilities, commits to enhancing customer experience, and implements continuous improvementinitiatives.

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 produce statistically significant results.

Address ad‑hoc reports and analysis requests.

Communicate execution progress through written status updates.

Data Management&Quality Assurance

Build processes to manipulate, transform, and extract insights from datasets across various data sources using Python&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&ML models to production level in a virtual or cloud‑based system (AWS, Azure Databricks).

Assemble large datasets from various 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 understanding departmental needs and building effective, positive partnerships with cross‑functional business teams.

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 such as Git and Bash are a plus.

Advanced working knowledge of 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.

Additional Details for This Role Hybrid Work Setting– The flexibility to work remotely or in the office enhances work‑life balance and strengthens our sense of community and team spirit.

Our Benefits

Health, dental, vision, mental health support, financial advisors, and fitness programs.

Flexible vacation, personal days, summer hours, and a company‑wide holiday shutdown.

Retirement plan with matching contributions.

Tuition reimbursement and personalized development plans.

Recognition program and celebrations.

Equal Opportunity Employer 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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