Data Analyst

Location: Toronto, ON

Onsite Flexibility: Hybrid - 4 days on site

• Position Type: Contract
• Contract Duration: 12 months (extension possible based on business needs and performance; conversion to permanent possible based on business needs and performance)
• Pay Rate: C$44.00–C$53.00 / Hour (CAD)
• Shift / Schedule: Monday–Friday, 9:00 AM – 5:00 PM
• Travel Requirements: Not required

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The Data Analyst III 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. This is an AI project with a heavy focus on knowledge of reporting, and the contractor will have access to customer data. The team consists of 7 people - 6 data scientists and 1 BI specialist - and fosters a collaborative, supportive culture within a leading financial institution.

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• 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

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• 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

• 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

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• 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

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• Undergraduate degree or advanced technical degree preferred (e.g., mathematics, physics, engineering, finance, or computer science)

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• 5–7 years of overall experience in a data analytics or related role

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• Interview process: 2 rounds - first virtual, second in-person; 30–45 minutes each
• Candidates with a pattern of short-term contracts or job hopping will not be considered

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This client is a leading financial services and banking institution operating across Canada and internationally, with a large workforce of technology professionals including solutions developers, data analysts, data scientists, and business intelligence specialists. The organization supports thousands of team members across its enterprise technology divisions and places a strong emphasis on collaboration, agility, and long-term career growth. Contractors joining this environment gain exposure to large-scale AI and analytics initiatives within a regulated, risk-conscious financial institution.

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GTT is an NMSDC-certified Minority Business Enterprise (MBE) headquartered in Portsmouth, New Hampshire. GTT is a subsidiary of Chenega Corporation, an Alaska-based company and one of the largest Alaska Native-owned corporations. An Inc. 5000 honoree and one of SIA's Best Staffing Firms to Work For, GTT connects professionals with Fortune 500 organizations across IT, engineering, construction, utilities, life sciences, financial services, and healthcare throughout the U.S. and Canada. We're committed to diverse, inclusive workplaces and to placing people in roles where they can do their best work.

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Job Number: 26-18625 Industry: Data & Analytics