Manager, DtC (Retail/Ecomm) Data Analytics

Position Summary

Role and Responsibilities

Essential Duties and Responsibilities:

DtC Data Analytics

• Monitor and analyze sales performance against targets and historical benchmarks.
• 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.
• Support the development of Weekly, Monthly, and Annual revenue targets by SKU and contribute to mid-to-long-term eCommerce strategy.
• Generate regular KPI reports for internal stakeholders and ad-hoc reports as needed.

eCommerce Digital Analytics

• Measure and forecast the impact of digital engagement and product experience initiatives on the Canadian business.
• 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.
• Oversee dashboards for digital product and customer insights teams to translate complex data into actionable insights.
• Collaborate with IT and business stakeholders to influence data-driven decision-making.
• Design, implement, and maintain web analytics solutions/products; oversee web analytics projects.
• Provide automated hourly progress dashboards to leadership teams.
• Conduct post-mortem analyses of key marketing events, campaign journeys, store fill changes, promo codes, and free shipping offers.
• Track and share insights on web metrics (e.g., Visitors, Bounce Rate, Page Views, Session Duration, Top Traffic Sources).
• Enhance quantitative and qualitative analytics capabilities through new tools or processes.

Skills and Qualifications

Requirements:

Education:

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

Knowledge:

• 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).
• Strong analytical skills with the ability to understand user flow, define custom metrics, and develop hypotheses to identify opportunities.
• Exceptional organizational and planning skills with a keen attention to detail.
• Highly developed communication and interpersonal skills to build relationships across all organizational levels.
• 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.
• Demonstrated people management skills.
• Strong project management skills with experience in agile process management.

Experience:

• 5–7 years of hands-on experience with search engine marketing (Google Ads), website analytics platforms (Google Analytics), and brand analysis techniques (upper funnel analysis).
• Experience overseeing analytics frameworks and leading analysis/insight initiatives.
• Proven ability to translate data insights into business insights by collaborating with cross-functional teams.
• Demonstrated analytical background in marketing analytics, financial modeling, or statistical analysis.
• Experience using SQL to extract and manipulate data or programming/scripting languages (R, Python, C++).
• Ability to analyze large datasets and derive actionable insights.
• Advanced proficiency in modern web technologies (HTML, CSS, JavaScript) with knowledge of browser dependencies and cross-platform issues.
• Experience in the consumer electronics industry is an asset.

The salary range for this role is expected to be between $93,000 to $128,000 and reflects base salary only. Actual pay will be determined based on a number of factors and may vary depending on job-related knowledge, competencies, qualifications, relevant skills and experience. This posting is for a current job vacancy.

The total rewards package for a Regular Full-Time employee may include a variable incentive, savings matching (RRSP/TFSA/NRSP), extended health and dental benefits with spending accounts, wellness and well-being benefits, development opportunities, and other employee perks.

Samsung is an equal employment opportunity employer.

Samsung has an accommodation process in place and provides accommodations for job applicants with disabilities as appropriate. Assessment and selection materials and procedures can be made available in accessible formats and methods as appropriate. If you require a specific accommodation because of disability or medical need, please let us know when selected to take part in our recruitment process so that reasonable arrangements can be made for the appropriate accommodations to be in place as you move through our process.

We thank you for your interest in working for Samsung. Only candidates selected for an interview will be contacted.

Please note that we reserve the right to remove or modify job postings at any time.

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