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Added 9 mins ago
Data & Business Support Analyst
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Market Intelligence Strategic Insights Analyst
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Calgary, AB · AB · Vancouver, BC · Winnipeg, MB · Moncton, NB · Dartmouth, NS · Kitchener, ON · Ottawa, ON · Toronto, ON · ON · Montreal, QC · Edmonton, AB (Hybrid), AB · Hybrid - Canada, ON · North York - Toronto, ON (Hybr, ON
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360training

Digital Marketing Analyst

ON, Canada

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Applications open in a new tab.

Job details

Experience: 1-3 years of experience in digital marketing analytics, e-commerce analytics, or web analytics with a track record of delivering insights that drive measurable impact.
Posting language: English
Posted: Nov 3, 2026

Original job description

360training
At 360training, we’re more than an online training provider - we’re on a mission to empower people and organizations to thrive. As a fast-growing leader in online and live training across multiple industries, we deliver regulatory-approved training and certifications that power careers and businesses.

Our culture is grounded in two values: Deliver Results and Do the Right Thing. We operate as a collaborative, performance-driven organization where data plays a critical role in shaping strategy and outcomes. If you’re excited to turn analytics into impact and influence meaningful decisions, 360training is the place for you.

Digital Marketing Analyst:

We’re seeking a Digital Marketing Analyst who is passionate about turning raw data into powerful business insights. In this role, you’ll have a direct impact on our multi-million-dollar eCommerce business, owning reports, dashboards, and analysis that drive marketing decisions.

This isn’t just about building reports about telling the story behind the numbers, identifying trends, and influencing strategy. You’ll work side-by-side with leadership to answer critical questions, uncover new opportunities, and help shape the future of 360training’s data-driven culture

Responsibilities:

Partner closely with Marketing leaders to understand performance drivers, identify opportunities, and provide actionable recommendations that accelerate growth across multiple brands.
Tell the story behind the data by identifying trends, opportunities, and risks, then communicating findings and recommendations to stakeholders at all levels of the organization.
Measure and optimize marketing performance by evaluating channel performance, campaign effectiveness, customer behavior, conversion funnels, and return on advertising spend.
Drive continuous improvement through automation and AI, identifying opportunities to streamline workflows, improve reporting efficiency, and enhance decision-making through emerging technologies.
Leverage Google Analytics, BigQuery, SQL, and other data sources to investigate business questions, uncover growth opportunities, and improve customer acquisition and retention.
Develop and enhance dashboards, reporting, and self-service analytics in Power BI to support data-driven decision making.
Bonus skills that make you stand out

Qualification:

Bachelor’s degree in marketing, Analytics, Statistics, Economics, Computer Science, Data Science, Mathematics, or a related field.
1-3 years of experience in digital marketing analytics, e-commerce analytics, or web analytics with a track record of delivering insights that drive measurable impact.
Strong analytical and problem-solving skills with the ability to move from data to [JV1.1]actionable recommendations.
Naturally curious, ambitious, and proactive, with a desire to continually learn, challenge assumptions, and uncover new opportunities.
Collaborative mindset and ability to build strong partnerships across marketing and business teams.
Interest in leveraging AI tools and workflow automation to improve business processes and analytical efficiency.
Hands-on experience with Google Analytics (GA4) and strong understanding of digital marketing performance metrics and attribution concepts.
Experience with Google Ads and/or Microsoft Ads reporting and performance analysis.
Proficiency[JV2.1] in SQL and/or BigQuery for extracting, transforming, and analyzing data.
Experience building dashboards and visualizations using Power BI, Tableau, or similar BI tools.
Bonus skills that make you stand out
Experience supporting multi-brand, multi-domain e-commerce businesses.
Knowledge of statistical analysis, forecasting, and predictive modeling.
Experience with Python, R, or advanced analytics techniques.
Familiarity with customer segmentation, lifetime value (LTV), attribution modeling, or experimentation/A-B testing.
Experience working with data warehouses, cloud analytics platforms, or large-scale marketing datasets.
Exposure to AI-powered analytics, machine learning applications, or workflow automation platforms.

We Offer Great Benefits:

Competitive salary and annual bonus
Paid Time off and company recognized holidays
Health & Medical Supplemental coverage
Dental Coverage
Emergency Travel Coverage
Mental Health & Virtual Care
Life & Accidental Coverage

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More about this job

Responsibilities

The Digital Marketing Analyst will partner with marketing leaders to drive growth by analyzing performance data and communicating actionable insights. They will also manage reporting, dashboards, and automation workflows to optimize marketing effectiveness across multiple brands.

Requirements

Candidates must have a bachelor's degree in a relevant field and 1-3 years of experience in digital marketing or e-commerce analytics. Proficiency in SQL, Google Analytics, and BI visualization tools like Power BI is required.

Skills

Digital marketing analytics
E-commerce analytics
Web analytics
Google Analytics
GA4
SQL
BigQuery
Power BI
Tableau
Data visualization
Marketing performance measurement
Attribution modeling
Statistical analysis
Forecasting
Predictive modeling
Workflow automation

Benefits

Competitive salary
Annual bonus
Paid time off
Company recognized holidays
Health & medical supplemental coverage
Dental coverage
Emergency travel coverage
Mental health & virtual care
Life & accidental coverage

Visa sponsorship

Not detected in the job text

Keywords

Digital Marketing Analyst
E-commerce
Google Analytics
GA4
SQL
BigQuery
Power BI
Tableau
Data-driven
Marketing performance
Attribution
Customer acquisition
Retention
Automation
AI
Statistical analysis
Forecasting
Predictive modeling
Python
R
Customer segmentation
LTV
A-B testing
Data warehouse
Cloud analytics
Machine learning
Marketing strategy
Reporting
Dashboards
Conversion funnels

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