Data Analyst
Brother Canada
- Dollard-des-Ormeaux, QC
- Permanent
- Full-time
- 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 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
- Build processes to manipulate, transform and extract insights from datasets across various types of data sources using Python & 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 & 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.
- 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 are a plus
- Advanced working knowledge with relational SQL and NoSQL databases i.e. MySQLand 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.