e-Commerce Analytics Manager
August 29
🔄 Hybrid – Toronto
Description
• Own overall e-commerce analytics & reporting, from upper funnel acquisition through retention and merchandising. • Deliver insights and recommendations to help leadership and cross-functional stakeholders better understand customer behaviour on-site, product merchandising, retention rates and overall business performance. • Directly support our web team with all aspects of product analytics including strategic leadership, hypothesis generation, test planning and design, measurement and reporting, and full deep-dive analysis. • Contribute to revenue growth and margin improvement by generating actionable insights by synthesizing data and communicate effectively to stakeholders. • You will be “in the weeds,” building/analyzing models, proving and disproving hypotheses, and making recommendations on operational and strategic initiatives. • Deliver and automate daily, weekly, and monthly reporting; design and build visually engaging and informative dashboards. • Present and share analyses and findings to stakeholders; 'telling the story' and identifying drivers and opportunities of business performance. • Partner with cross-functional teams and business stakeholders on key initiatives, programs, resource planning, and special projects related to strategy. • Conduct insightful, ad hoc analyses to investigate ongoing or one-time issues. • Participate in thought leadership around defining, growing, and leading BI next generation best practices and scale. Specifically, come with a point of view on data, tools, process governance, experimentation tool development, etc.
Requirements
• 5 years of experience in a highly technical role working on core business metrics. • You thrive on combining rigorous data-driven analysis, strong business and marketing intuition and judgment, and an ability to work well across a variety of teams to solve complex problems. You've likely held roles in business operations, product data science, or marketing analytics. • SQL proficiency, comfortable both editing and at times writing new functions. • Looker or Tableau experience is preferred, or fluency with other visualization tools. • Strong business acumen, with the ability to translate quantitative data into actionable business insights and recommendations. You can communicate complex data concepts and reasoning in ways that senior management, creatives, and other stakeholders can understand. • Experience leading projects that require gathering your own cross-functional buy in and presenting to senior stakeholders. • Experience in marketing-specific data is preferred, along with familiarity with advertising channels and concepts (attribution, LTV, CAC, ROI, payback periods).
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