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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This role will design and deliver end-to-end analytics solutions combining data science, advanced analytics, and business intelligence. The 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.

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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

• Azure Databricks — experience building and managing complex ETL pipelines
• Ability to manipulate and process large and complex datasets
• 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 organization 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
• Ability to translate technical outputs into meaningful business insights
• Ability to work independently and manage deliverables
• Comfortable working with evolving requirements

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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
• Previous AI/ML experience
• Predictive modelling and machine learning
• Generative AI / LLM experience
• AWS or GCP experience (transferable cloud knowledge)
• Additional cloud platform experience

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

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• Approximately 3–5 years of relevant experience; more experienced candidates are preferred due to the complexity of the datasets

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• Interview process: 2 rounds — Round 1 is a live coding assessment with screen sharing (virtual); Round 2 is an in-person interview with the hiring manager; approximately 30–45 minutes each
• The contractor will have access to customer data

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This client is a leading financial services institution operating across Canada and internationally, with a large branch network and thousands of professionals spanning data science, business intelligence, technology, and analytics. The organization employs data scientists, data engineers, BI specialists, and analytics professionals who collaborate on AI-driven projects supporting branch operations and strategic decision-making. With a team culture that emphasizes collaboration, agility, and innovation, this institution offers contractors the opportunity to contribute to impactful, enterprise-scale AI and analytics initiatives.

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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

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