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Sr. Analyst, E-Commerce Analytics and Advertising

Groupe Dynamite Inc.

Montreal

On-site

CAD 70,000 - 90,000

Full time

2 days ago
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Job summary

A leading company in Montreal seeks a Sr. Analyst for E-Commerce Analytics and Advertising. You will enhance decision-making across digital marketing channels by developing analytics tools and collaborating with various teams. This role requires a strong background in data science and statistical methods to optimize advertising strategies and improve performance metrics.

Benefits

Performance-driven bonuses
Flexible group insurance
Employee discount
Flexible vacation policy

Qualifications

  • 5 to 7 years of experience in a data science function.
  • Strong knowledge of statistical methods.

Responsibilities

  • Evaluate paid media performance and identify optimization opportunities.
  • Define and manage business requirements for event tracking.

Skills

Statistical Methods
Data Storytelling

Education

Degree in Quantitative Analysis

Tools

SQL
Python
Power BI

Job description

Sr. Analyst, E-Commerce Analytics and Advertising

Join to apply for the Sr. Analyst, E-Commerce Analytics and Advertising role at Groupe Dynamite

Sr. Analyst, E-Commerce Analytics and Advertising

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Join to apply for the Sr. Analyst, E-Commerce Analytics and Advertising role at Groupe Dynamite

Overview

Groupe Dynamite Inc. (GDI) is a Montréal-based, public company of integrated omni-channel brands, designing and distributing accessible, trend-forward fashion for women since 1975.

Overview

Groupe Dynamite Inc. (GDI) is a Montréal-based, public company of integrated omni-channel brands, designing and distributing accessible, trend-forward fashion for women since 1975.

Our mission of "Empowering YOU to be YOU, one outfit at a time" is brought to life through the GARAGE and DYNAMITE banners and represents the consumer-centric core of GDI's long-standing success as a leading retailer in North America.

Today, GDI operates nearly 300 stores across Canada and the United States, as well as shoppable brand experiences at Garageclothing.com and Dynamiteclothing.com.

Job Summary

Reporting to the Manager, E-comm Analytics and Experimentation, you will enable smarter decision-making across digital marketing channels, such as paid search, social, and affiliates, by developing advanced analytics tools that optimize weekly operations and strategic projects.

You will be responsible for implementing best practices in advanced analytics for performance marketing and will be working closely with the advertising channel leads and the Paid Media, Affiliates, Customer Relationship Management (CRM), and Google Analytics (GA4) teams for both brands (Garage and Dynamite).

Responsibilities

Advertising Efficiency:

  • Evaluate paid media performance and identify optimization opportunities to improve customer acquisition efficiency and return on ad spend;
  • Propose granular ad spend by developing and enhancing advertising tools and models;
  • Lead attribution and multi-touch analysis to assess the effectiveness of traffic channels and inform marketing investment strategies;
  • Support the measurement of high-impact brand activations through experimental and observational methodologies;
  • Build and evolve performance frameworks that help cross-functional teams make data-informed investment decisions.

Analytics Infrastructure & Data Enablement

  • Define and manage business requirements for event tracking, tagging, and data collection using GA4 and Google Tag Manager;
  • Collaborate with developers and analytics engineers to ensure accurate, consistent, and scalable data capture across platforms;
  • Develop and maintain automated dashboards and reporting tools that enable self-serve access to marketing insights;
  • Uphold high standards of data governance, integrity, and quality assurance across analytics platforms and reports.

Strategic Insights & Channel Optimization

  • Perform deep-dive analyses of traffic sources, user cohorts, and on-site behaviour to identify growth opportunities across paid, organic, affiliate, and CRM channels;
  • Deliver insights and strategic recommendations on brand campaign performance and marketing mix effectiveness in clear, stakeholder-friendly formats;
  • Provide guidance on best practices in data aggregation, testing, measurement, and data science methodologies, fostering a collaborative and insight-driven team culture.

Qualifications

  • Degree in a quantitative analysis field, such as Engineering, Machine Learning, Data Science, Mathematics, and Computer Science, with an advanced degree being a plus;
  • 5 to 7 years of experience in a data science function, with a focus on driving business impact;
  • Strong knowledge of statistical methods, such as regression, cohort analysis, hypothesis testing, and cluster analysis;
  • Experience in E-comm and/or digital marketing or in using data from digital advertising platforms, such as GA4, search, social media, and affiliates;
  • Experience with data science tool sets, such as SQL, R, Python, Apache Spark, Scala, SPSS, or equivalent, is an asset;
  • Knowledge of modern visualization tools, such as Power BI, Adobe Analytics, Tableau, Funnel, and Marketing Cloud Intelligence;
  • Proven ability to work cross-functionally and influence decision-making through data storytelling.

At GDI, You Will Be Part Of a Growing Organization That Understands The Importance Of Investing In People And Offers You

  • A comprehensive compensation package that includes performance-driven bonuses;
  • A group retirement savings program with employer matching;
  • Flexible group insurance with personalized coverage that meets your needs;
  • An employee discount at Garage and Dynamite;
  • Exclusive private sample sales;
  • A flexible vacation policy;
  • And more!

GDI has been repeatedly voted one of Montréal’s Top Employers and one of Canada’s Top Employers for Young People.

Our promise…

No day will be like the last—we aim to be better today than we were yesterday. We are committed to employment equity.

Candidates that are retained will be called for an interview.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Management and Manufacturing
  • Industries
    Retail

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