Job Description
We’re looking for a highly skilled and motivated Data Analyst / BI Developer with strong coding capabilities and a passion for turning data into actionable insights. If you're experienced in SQL, Python, and modern data tools—and thrive in a fast-paced, collaborative environment—we’d love to hear from you.
Location : Toronto ON, Hybrid 2-Day Onsite
Status : Contract
Responsibilities :
- Maintain and enhance existing codebases using SQL, Python, Databricks, GitHub, and Copilot
- Support and troubleshoot production issues, ensuring timely resolution of defects
- Refresh, publish, and manage Tableau and Power BI dashboards, ensuring timely and accurate report delivery
- Collaborate with business stakeholders to understand requirements and translate them into scalable data solutions
- Manage multiple priorities and deliver under tight timelines with a high level of quality and attention to detail
Support business-as-usual (BAU) dashboards and ad-hoc reporting needs for the client in the Business Banking Non-Journey segment, which includes :
- Delivering insights on sales performance and other key metrics
- Partnering with business teams on monthly adjustments and annual updates
- Ensuring data accuracy and relevance in all reporting outputs
Requirements :
- Proficiency in SQL, Python, and Databricks
- Experience with GitHub and Copilot for version control and code assistance
- Strong hands-on experience with Tableau and / or Power BI, including dashboard maintenance and publishing
- Excellent communication skills and business acumen to engage effectively with cross-functional teams
- Ability to work independently and collaboratively in a dynamic environment
Qualifications :
- Typically between 5 - 7 years of relevant experience and a post-secondary degree in a related field or an equivalent combination of education and experience
- Analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Extensive experience working with large data sets
- Financial sector experience is an asset
- Applied knowledge of analysis and problem decomposition techniques
- Understanding of the Software Development Life Cycle, including the ‘Feasibility,’ ‘Requirements,’ and ‘Analysis’ phases
- Deep knowledge and technical proficiency gained through extensive education and business experience
- Strong analytical and problem-solving skills
- Data-driven decision making