Data Analyst III
- Toronto, ON, Canada
Contract Period: 12 months with potential to extend or convert Pay Rate: Starting form $38 per hour Location: Toronto, ON Location Type: Hybrid Business Hours: Monday-Friday, 9:00 AM to 5:00 PM · Contract
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Job details
- Pay
- Contract Period: 12 months with potential to extend or convert Pay Rate: Starting form $38 per hour Location: Toronto, ON Location Type: Hybrid Business Hours: Monday-Friday, 9:00 AM to 5:00 PM
- Job type
- Contract
- Apply by
- Experience
- 5-7 years of experience in Python (including Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and PySpark)
- Posting language
- English
- Posted
Original job description
Our client is a top financial institution with significant North American holdings. They have operations across most major verticals, including institutional & corporate, wealth management, private clients, commercial banking, treasury, and retail banking.
Introduction:
Robertson is seeking a skilled Data Analyst III to join our client in support of an existing vacancy.
Contract Period: 12 months with potential to extend or convert
Pay Rate: Starting form $38 per hour
Location: Toronto, ON
Location Type: Hybrid
Business Hours: Monday-Friday, 9:00 AM to 5:00 PM
Job Responsibilities:
Background screening is required as part of the onboarding process. The type of screening required (criminal, credit, or other verifications) will vary based on the position and client requirements.
We use AI technology as part of our application review process to assist with screening and assessment. All applications are also reviewed by our recruitment team.
Introduction:
Robertson is seeking a skilled Data Analyst III to join our client in support of an existing vacancy.
Contract Period: 12 months with potential to extend or convert
Pay Rate: Starting form $38 per hour
Location: Toronto, ON
Location Type: Hybrid
Business Hours: Monday-Friday, 9:00 AM to 5:00 PM
Job 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
- Undergraduate degree required
- 5-7 years of experience 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
- 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
Background screening is required as part of the onboarding process. The type of screening required (criminal, credit, or other verifications) will vary based on the position and client requirements.
We use AI technology as part of our application review process to assist with screening and assessment. All applications are also reviewed by our recruitment team.
More about this job
Responsibilities
Apply statistical analysis, machine learning, and advanced analytics to identify trends, risks, and opportunities, and build analytical models, datasets, and data-driven solutions. Deliver insights through Power BI dashboards and reporting while partnering with stakeholders to define requirements, ensure data quality and governance, and operationalize analytics.
Requirements
An undergraduate degree and 5–7 years of experience with Python and its data and machine-learning libraries are required, along with strong SQL skills and proficiency in Power BI and Tableau. Candidates should have experience with cloud data and AI/ML platforms, production model deployment, and machine-learning methods and workflows including feature engineering, tuning, and explainability.
Skills
- Python
- Pandas
- NumPy
- Scikit-Learn
- TensorFlow
- PyTorch
- PySpark
- SQL
- Cloud Data Platforms
- Machine Learning
- Power BI
- Tableau
- Statistical Analysis
- Data Modeling
- Feature Engineering
- Model Explainability
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Finance & Accounting
Keywords
- Python
- Pandas
- NumPy
- Scikit-Learn
- TensorFlow
- PyTorch
- PySpark
- SQL
- Power BI
- Tableau
- Azure
- AWS
- GCP
- Machine Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Causal Inference
- Statistical Analysis
- Advanced Analytics
- Feature Engineering
- Hyperparameter Tuning
- Model Explainability
- Model Deployment
- Data Pipelines
- Data Governance
- Data Quality
- Risk Monitoring
- Financial Services
- Experimentation Frameworks