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 mode (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.

Front Street West Corporate 12 months Must Haves Python (Pandas, Num

Py, Scikit-learn, Tensor

Flow, 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

📌 Data Analyst (5–7 years) to design and deliver end-to-end analytics solutions using Python, SQL, cloud-based AI/ML platforms, and Power BI 58972 (Toronto)
🏢 S.i. Systems
📍 Toronto