Data Analyst (5–7 years)

Our financial services client is seeking a Data Analyst III (5–7 years) to design and deliver end-to-end analytics solutions using Python, SQL, cloud-based AI/ML platforms, and Power BI

Drive an AI-focused initiative with a strong reporting emphasis for a leading financial institution. This role delivers end-to-end analytics solutions across data science, advanced analytics, and business intelligence using Python, SQL, cloud-based AI/ML platforms, and Power BI. Join a collaborative team of 6 data scientists and 1 BI specialist with a 2-week training period in a hybrid model (4 days onsite) in Toronto. This is a 12-month contract with potential extension and conversion based on business needs and performance.

Contract, Toronto, Hybrid, Working 4 days on site.

160 Front Street West Corporate

12 months

Must Haves

• Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, PySpark)
• SQL for complex queries, stored procedures, and data extraction
• Cloud-based data and AI/ML platforms (Azure, AWS) with production model deployment and management
• Power BI for visualizations and dashboards
• 5–7 years of experience

Nice to Have

• Proficiency in Tableau
• Hands-on machine learning techniques: supervised, unsupervised, reinforcement learning, and causal inference
• Building, training, and deploying ML models including pipelines, feature engineering, hyperparameter tuning, and model explainability

Responsibilities

• Apply statistical analysis, machine learning, and advanced analytics techniques to identify trends, risks, and optimization opportunities
• Design and build analytical models, experimentation frameworks, and data-driven solutions to address complex business problems
• Develop and maintain curated datasets, feature layers, and analytical data models to support modeling and reporting use cases
• Deliver insights through interactive dashboards (Power BI), reporting solutions, and executive-ready storytelling
• Partner with stakeholders to define analytical requirements and design data-driven decision frameworks
• Ensure data quality, validation, and governance across analytical models and BI outputs
• Operationalize analytics through automated pipelines, monitoring solutions, and repeatable reporting processes