- Salary
- C$46 – C$52/hr
- Location
- Toronto, Ontario
- Workplace
- Hybrid
- Type
- Contract
- Closing date
- Today
Description
Job Title: Data Analyst III x 2
Location: Toronto, ON (Hybrid)
Estimated Duration: 12 Months
The role will design and deliver end-to-end analytics solutions combining data science, advanced analytics, and business intelligence.
This role applies statistical analysis, machine learning, and data-driven experimentation to solve complex business problems, while also translating these insights into scalable dashboards, reporting solutions, and decision-support tools for stakeholders.
Success in this role requires strong depth in data science and analytical problem solving, complemented by the ability to deliver intuitive, business-facing BI solutions that drive adoption and impact.
Key Responsibilities
MUST HAVE Hard Skills:
SOFT SKILLS:
NICE-TO-HAVE
Location: Toronto, ON (Hybrid)
Estimated Duration: 12 Months
The role will design and deliver end-to-end analytics solutions combining data science, advanced analytics, and business intelligence.
This role applies statistical analysis, machine learning, and data-driven experimentation to solve complex business problems, while also translating these insights into scalable dashboards, reporting solutions, and decision-support tools for stakeholders.
Success in this role requires strong depth in data science and analytical problem solving, complemented by the ability to deliver intuitive, business-facing BI solutions that drive adoption and impact.
Key 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 both modeling and reporting use cases
- Translate ambiguous business problems into structured analytical approaches, KPIs, and measurable outcomes
- 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 both analytical models and BI outputs
- Operationalize analytics through automated pipelines, monitoring solutions, and repeatable reporting processes
- Continuously improve analytical methodologies, data assets, and reporting efficiency
- Support risk and control objectives through analytical monitoring and insight generation
MUST HAVE Hard Skills:
- Proficiency in Python (including Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and PySpark).
- SQL- writing complex queries, stored procedures, and data extraction.
- Experience with cloud-based data and AI/ML platforms (e.g., Azure, AWS, or GCP), including deploying and managing models in production environments.
- Proficiency in Power BI to create impactful visualizations and dashboards
SOFT SKILLS:
- Strong organizational skills with the ability to work in a fast-paced environment and manage multiple deadlines and priorities.
- Ability to effectively work in teams across the bank with multiple stakeholders and to influence and align others.
- Strong risk acumen – challenges the status quo and proactively manages risks.
- Ability to work in ambiguity and simplify complex issues.
- Strong work ethic and ability to execute with speed.
NICE-TO-HAVE
- Proficiency in Tableau
- Hands-on experience with machine learning techniques, including supervised and unsupervised learning, reinforcement learning, and causal inference.
- Experience building, training, and deploying machine learning models, including model pipelines, feature engineering, hyperparameter tuning, and model explainability.
Skills
PythonAWSAzureGCPSQLMachine LearningTensorFlowPyTorchPandasNumPyScikit-learnData ScienceTableauPower BI