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Global Technical Talent, an Inc. 5000 Company

Data Analyst - Marketing/Communications/Product Analytics

Toronto, ON, Canada

$45 to $50 CAD / hour · Contract

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Job details

Pay: $45 to $50 CAD / hour
Job type: Contract
Apply by: Dec 9, 2026
Experience: 0-2 years of Data Analyst experience (or strong internship/co-op experience).
Working hours: 37.5 hours/week
Posting language: English
Posted: Nov 9, 2026

Original job description

Data Analyst Python - Marketing/Communications/Product analytics

Location: Toronto, ON

Onsite Flexibility

Hybrid - Remote (based in GTA; team meets once a month)

Contract Details

Position Type: Contract
Contract Duration: 12 months (with potential for extension or conversion to FTE based on business need and performance)
Pay Rate: C$45.00–C$50.00 / Hour (CAD)
Shift / Schedule: 37.5 hours/week, 9:00 AM – 5:00 PM, Monday to Friday

Job Summary

This client is seeking an Entry-Level Data Analyst to join a high-visibility Communications & Public Affairs team supporting enterprise employee communication platforms. This role is ideal for an analytically minded candidate who combines strong technical aptitude with exceptional communication and storytelling skills. The successful candidate will analyze communication performance metrics, develop KPIs, prepare executive reporting, and provide actionable insights to improve communication effectiveness across the organization. Unlike traditional reporting-focused analyst roles, this position offers ownership across the entire data lifecycle, including data acquisition, cleansing, analysis, visualization, and presentation. Candidates should be comfortable using modern analytics tools, AI-powered development workflows, and collaborating with non-technical stakeholders.

Key Responsibilities

Analyze enterprise communication performance data and engagement metrics.
Develop KPIs and performance measurement frameworks.
Create executive reports, dashboards, and presentations.
Translate complex analytical findings into clear business recommendations.
Source, clean, transform, and validate datasets.
Leverage AI-enabled tools and modern development practices.
Present findings to business stakeholders and senior leaders.
Partner with communications professionals to identify opportunities for improvement.
Support ongoing reporting and ad hoc analytics initiatives.

Must-Have Requirements

0-2 years of Data Analyst experience (or strong internship/co-op experience).
Experience using Python for data analysis.
Experience using JavaScript for dashboarding or visualization development.
Working knowledge of Git and GitHub/version control.
Experience leveraging AI-enabled development tools (e.g., GitHub Copilot, coding assistants, AI workflows).
Understanding of data analysis concepts, KPI development, and basic statistics.
Ability to create meaningful visualizations and tell compelling stories with data.
Demonstrated ability to work independently and learn new technologies quickly.
Strong communication and presentation skills with ability to support non-technical stakeholders.

Nice-to-Have Requirements

Experience with databases and data modeling.
Marketing/Communications/Product analytics experience.
Banking or financial services experience

Preferred Skills

Exceptional verbal and written communication skills.
Strong stakeholder management capabilities.
Executive presentation skills.
Strong storytelling and data visualization mindset.
Adaptability and eagerness to learn new technologies.
Self-starter with strong problem-solving abilities.

About the Client

This client is a large, full-service multinational financial institution offering a comprehensive range of banking, wealth management, and capital markets products and services, serving millions of clients across its home market and operating internationally - including significant commercial and investment banking presence in the United States and other global markets. The organization employs data analysts, business analysts, communications professionals, software engineers, and enterprise technology specialists who collaborate across highly visible, cross-functional teams. With structured career development pathways, competitive compensation, meaningful inclusion and diversity commitments, and flexibility for hybrid and remote work arrangements, this institution is a strong fit for early-career professionals seeking stability and growth in a major financial services environment.

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: 26-18808 Industry: Data & Analytics

#gttca

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More about this job

Responsibilities

Analyze communication performance and engagement data, develop KPIs, and create executive reports, dashboards, and presentations. Prepare and validate datasets, translate findings into actionable recommendations, and collaborate with communications professionals and business stakeholders to improve communication effectiveness.

Requirements

Candidates should have 0–2 years of data analyst experience or strong internship/co-op experience, with Python, JavaScript, Git/GitHub, and experience using AI-enabled development tools. They should understand data analysis, KPI development, and basic statistics, and be able to create visualizations, communicate insights, present findings, and work independently.

Skills

Python
JavaScript
Data Analysis
KPI Development
Data Visualization
Data Storytelling
Git
GitHub
AI-Assisted Development
Basic Statistics
Dashboard Development
Data Cleaning
Data Transformation
Executive Reporting
Stakeholder Communication
Presentation Skills

Visa sponsorship

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Keywords

Python
JavaScript
Git
GitHub
AI-Enabled Development Tools
Data Analysis
Marketing Analytics
Communications Analytics
Product Analytics
Communication Performance Metrics
Engagement Metrics
KPI Development
Basic Statistics
Data Acquisition
Data Cleaning
Data Transformation
Data Validation
Data Visualization
Dashboard Development
Executive Reporting
Data Storytelling
Stakeholder Management
Financial Services
Banking
Data Modeling
Business Recommendations

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