Data Analyst

Location: Toronto, ON

Onsite Flexibility: Hybrid 4 days on site

Contract Details

- Position Type: Contract
- Contract Duration: 12 months (extension possible based on business needs and performance; conversion 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

Job Summary

The Data Analyst 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 heavy focus on knowledge of reporting, situated within a collaborative team of seven, including six data scientists and one BI specialist, with a two-week training period at the outset.

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 Requirements

- 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

Required 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

Preferred Skills

- 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

Education Requirements

- Undergraduate degree or advanced technical degree preferred (e.g., mathematics, physics, engineering, finance, or computer science)
- No certifications required

Required Experience

- 5 7 years of overall experience




- The ideal candidate will have strong experience in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, PySpark) and SQL, with the ability to build data-driven solutions and work with large datasets
- Experience with cloud-based AI/ML platforms (Azure, AWS, or GCP) and Power BI for dashboarding and visualization is essential
- The candidate should demonstrate strong organizational and stakeholder management skills, thrive in fast-paced and ambiguous environments, possess strong risk awareness, and have a proven ability to deliver results efficiently

Nice-to-Have Experience

- Experience with Tableau and advanced machine learning model development, deployment, and optimization

Important Notes

- Interview process: 2 rounds first virtual, second in-person; 30 45 minutes each
- Contractor will have access to customer data

About the Client

This client is a leading financial services and banking institution operating across Canada and internationally, with a large, collaborative workforce that includes data scientists, business intelligence specialists, solutions developers, and technology professionals. The organization places a robust emphasis on innovation through data and AI, with teams that value agility, risk awareness, and long-term performance. Professionals in this environment work alongside cross-functional stakeholders on high-impact analytical and technology initiatives.

About GTT

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.

Job Number: 26-18625 Industry: Data & Analytics

#LI-Hybrid #LI-GTT #gttca

📌 Data Analyst (Toronto)
🏢 GTT
📍 Toronto