Publié il y a 8 jours
Data Analyst III
@ Robertson & Company Ltd.
Toronto, Ontario
SIGNAUX
Résumé des exigences :
- Partner with stakeholders to define analytical requirements and design data-driven decision frameworks
- Experience & Qualification Requirements:
- Undergraduate degree required
- 5-7 years of experience in Python (including Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and PySpark)
- Experience with cloud-based data and AI/ML platforms (e.g., Azure, AWS, or GCP), including deploying and managing models in production environments
- Hands-on experience with machine learning techniques, including supervised and unsupervised learning, reinforcement learning, and causal inference
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-11-05
- Première détection par notre source
- 2026-11-14
- Mise à jour du dossier source
- 2026-11-14
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Robertson & Company Ltd.
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 34 |
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.
Journal
Visible seulement par vous. Conservé sur cet appareil, et dans votre compte une fois connecté.