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Added 6 mins ago
Indigenous Relations Advisor
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Senior Manager, Business Management, GBM Finance
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Saskatoon, SK
- Full-time
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- Full-time
…than 45 years. Guided by our mission to deliver, respectful, quality care and connect seniors and families with the supports they need to live with dignity, independence, wellness, and…
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- Full-time
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- $75 to $80 CAD / hour
- Contract
Assess data quality, availability, and readiness for AI and advanced analytics initiatives.
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- $49.49 to $59.38 CAD / hour
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Create interactive Power BI dashboards, reporting solutions, and executive-ready data stories.
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Sales Director
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Client Service Manager - Commercial (Vancouver Island)
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Our menu, continuously developed by our Executive Chef, features globally inspired flavors and fresh, high quality ingredients. Our passion for the culinary arts and hospitality is evident…
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- $44 to $53 CAD / hour
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Global Technical Talent, an Inc. 5000 Company

Data Analyst

Toronto, ON, Canada

$44 to $53 CAD / hour · Contract

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Job details

Pay: $44 to $53 CAD / hour
Job type: Contract
Apply by: Dec 6, 2026
Posting language: English
Posted: Nov 6, 2026

Original job description

Data Analyst III

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 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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Job Summary

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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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

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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

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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

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Education Requirements

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

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Required Experience

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

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Important Notes

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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About the Client

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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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.

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Job Number: 26-18625 Industry: Data & Analytics

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More about this job

Responsibilities

Apply statistical analysis, machine learning, and advanced analytics to solve business problems, develop models and curated data assets, and identify trends, risks, and optimization opportunities. Deliver insights through Power BI dashboards and reporting, while ensuring data quality and governance and operationalizing analytics with automated pipelines and monitoring.

Requirements

Requires 5–7 years of experience, proficiency in Python and its listed data science libraries, complex SQL, cloud-based data and AI/ML platforms, and Power BI. Strong collaboration, organizational, risk-management, and problem-solving skills are required; a relevant undergraduate or advanced technical degree is preferred.

Skills

Python
Pandas
NumPy
Scikit-Learn
TensorFlow
PyTorch
PySpark
SQL
Cloud Platforms
Machine Learning
Power BI
Statistical Analysis
Data Visualization
Data Modeling
Feature Engineering
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

Data Analytics
Data Science
Business Intelligence
Python
Pandas
NumPy
Scikit-Learn
TensorFlow
PyTorch
PySpark
SQL
Azure
AWS
Google Cloud Platform
Power BI
Tableau
Machine Learning
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Causal Inference
Statistical Analysis
Experimentation
Feature Engineering
Model Explainability
Data Pipelines
Data Governance
Dashboarding
Risk Management
Financial Services

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