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ECommerce Data Analyst

Job in Toronto, Ontario, M5A, Canada
Listing for: Spin Master Ltd
Contract position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Ecommerce, Data Analyst
Job Description & How to Apply Below
Position: eCommerce Data Analyst [Contract]

Job Description

:
What will you work on? As an eCommerce Data Analyst, you will hold a supporting role for the team with preparing and analyzing core eCommerce performance reports as well as running projection models at an item, brand and retailer level. Additionally, you will play a key role in building and maintaining our eCommerce data infrastructure to equip stakeholders with holistic macro and micro insights across the entire eCommerce flywheel
How will you create impact?
70% Data Analytics
  • Being a self-starter is critical to this role. Success relies on curiosity, proactiveness and mining for insights as business cases arise.
  • Deliver analytics and insights into customer performance, trends, shopper journey, behavior and demographics by utilizing various data sources and analytics platforms to connect the dots
  • Create and maintain item-level reporting to support eCommerce brand teams in weekly priority item reviews for US and CA
  • Assess item/brand level performance, conduct root-cause analysis and assist eCommerce brand teams in evaluating performance
  • Be a key resource for historical analysis and predictive modeling around core metrics such as sales, traffic and inventory
  • Work with an entrepreneurial mindset to uncover opportunities and identify risks by diving into ad hoc analytics in the eCommerce flywheel, including digital shelf, selection strategy, competitive and inventory factors.
  • Ability to think critically and create relationships from different data sources
  • Be a tech stack super user with key SaaS tools such as Stackline, Pacvue, Keepa and Scintilla, and collaborate with key tech partners to deliver reporting and insight capabilities.
  • Consistently seek ways to simply, streamline and automate work processes to be efficient and work smarter, not harder
  • Build and maintain reporting dashboards in Power BI
  • 30% Data Engineering/Science
  • Develop and manage automated ETL pipelines, ETL work flows, schema and storage layers in Big Query using SQL
  • Help build and maintain API connections, Data Transfers and other scheduled workflows through Apache Airflow
  • Initiate, adopt and maintain SOPs for data integrity and standardization
  • Work cross-functionally with sales and marketing teams to improve analytical capabilities and reports through construction of action-oriented BI dashboards
  • What are your skills and experience?
  • Related sales/eCommerce analyst experience
  • Knowledge in SQL is preferred
  • Experience in Google Big Query Cloud Platform is preferred
  • Highly proficient technical skills in Excel and Power Point
  • Strong knowledge in Power BI (including Power Query/Power Pivot)
  • Experience using eCommerce SaaS products such as Stackline, Pacvue, Helium
    10 and Keepa is an asset
  • Knowledge in python is an asset
  • Knowledge of CPG, eCommerce or Retail concepts, standards and operational practices
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