Sec

Sec

Manager, DtC (Retail/Ecomm) Data Analytics

2050 Derry Rd W Mississauga, Canada · Full-time

Sponsorship not specified$93k-$128kDetected 14 days ago
JavaScriptPythonC++HTMLCSSSQLData AnalysisData EngineeringData VisualizationStatisticsProject ManagementSEOSEMGoogle AdsMarketing AnalyticsGoogle AnalyticsFinancial ModelingExcelLeadershipCommunicationPublic SpeakingMicrosoft Office

About the role

  • The Manager, DtC Data Analytics reports to the Director, DtC Strategy & Planning and plays a pivotal role in driving data-driven decision-making for the Omnichannel (eStore and SES stores) business.
  • This role involves designing and implementing digital reporting frameworks, conducting in-depth analysis, and supporting the Senior Executive team and DtC teams across the organization.
  • At Samsung Electronics Canada, we take pride in the creativity and diversity of our talented people - they are at the forefront of everything we do.

Responsibilities

  • Design and develop KPIs for eStore and SES stores.
  • Create and maintain tracking tools for Site Operations & Omnichannel KPIs (e.g., Visits, Conversion Rate, Bounce Rate, Average Order Value, Attach Rate, Reserve & Pick-Up, Cart Abandonment Rate).
  • Develop tracking tools for Partner KPIs (e.g., Transaction Processing, Shipping Lead Time, Fraud Rejections, Return Lead Time) and provide actionable insights.
  • Collaborate with Marketing Managers to evaluate the effectiveness of digital marketing campaigns and recommend updates or optimizations.
  • Manage BI tools (e.g., Tableau) and extract performance data from Adobe Analytics and Google Analytics.
  • Leverage data analytics to identify optimization opportunities that drive revenue growth and performance improvements.
  • Create and deliver targeted presentations, dashboards, and data visualizations to surface key insights and recommendations for stakeholders.
  • Manage digital data handling and ETL operations from multiple data warehouses to conduct in-depth customer, website, and product analysis.
  • Collaborate with IT and business stakeholders to influence data-driven decision-making.

Requirements

  • Bachelor's degree in Business, Statistics, Engineering, or a related quantitative field (or equivalent experience in retail/consumer electronics).

Nice to have

  • Bilingual proficiency in Korean (oral and written) is an asset.
  • Expertise in SQL, R, Python, C++, Excel (VBA scripting, Macros, Pivot Tables), and PowerPoint with experience in Online Analytical Processing (e.g., Tableau or Power BI).
  • Proficiency in Adobe Analytics, Google Analytics, Google Search Console, or equivalent tools.
  • Experience with competitive benchmarking tools (e.g., Gartner, Similarweb).
  • Self-motivated with the ability to prioritize tasks independently.
  • Proven ability to work effectively in a team environment.
  • Understanding of SEO/SEM, Digital Advertising, and eCommerce business metrics is an asset.
  • Knowledge of CMS platforms and eCommerce websites is preferred.

Skills

  • Exceptional organizational and planning skills with a keen attention to detail.
  • Demonstrated people management skills.
  • Strong project management skills with experience in agile process management.
  • Experience overseeing analytics frameworks and leading analysis/insight initiatives.

Compensation

  • Support the development of Weekly, Monthly, and Annual revenue targets by SKU and contribute to mid-to-long-term eCommerce strategy.
  • Competitive Salary and Performance based incentive plan for all levels

Benefits

  • Employer paid Medical and Dental coverage from day one
  • Tuition Reimbursement to keep you learning/Access of Samsung U for 24/7 online learning
  • Virtual Pet Care-to ensure the well-being and health of your beloved furry companions!
  • Free on-site gym to get your sweat on

Company info

  • We want the best of the best at Samsung to join our team, not just those who fit into our Culture but those who will ADD to our Culture and make Samsung an even better place to work.

This listing is sourced directly from Sec's careers page and normalized into a canonical job model.