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Added 1 hour ago
ECH - Manager, Marketing (12-Month Contract)
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Keep growing your career with continuing education support and opportunities for learning & development.
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- Full-time
Lead, inspire and manage a high performing, positive store team
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- Full-time
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Manager, DtC (Retail/Ecomm) Data Analytics
Samsung Electronics
Mississauga, ON
- Full-time
Measure and forecast the impact of digital engagement and product experience initiatives on the Canadian business.
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Senior Technical Lead
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Samsung Electronics

Manager, DtC (Retail/Ecomm) Data Analytics

Mississauga, ON, Canada

The salary range for this role is expected to be between $93,000 to $128,000 and reflects base salary only. · Full-time

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Job details

Pay: The salary range for this role is expected to be between $93,000 to $128,000 and reflects base salary only.
Job type: Full-time
Apply by: Nov 20, 2026
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).
Posting language: English
Posted: Oct 9, 2026

Original job description

Position Summary

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. Their skillset and mindset drive our continued success. 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.

Did we catch your attention yet?

If you want to work for one of the most recognized brands in the world and one of the Top 100 Employers in Canada...and have a ton of fun…. then please keep reading!

Our Perks:
• Fantastic employee discount on all Samsung products
• Competitive Salary and Performance based incentive plan for all levels
• Employer paid Medical and Dental coverage from day one
• Group RRSP plan that helps you save for the future
• Free on-site gym to get your sweat on
• Subsidized Cafeteria; including free Starbucks coffee/latte machine
• Tuition Reimbursement to keep you learning/Access of Samsung U for 24/7 online learning
• Employee Referral program- we want great talent like you!
• Virtual Pet Care-to ensure the well-being and health of your beloved furry companions!
• Additional Well Being Days for better work life-balance!

Position Summary:
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. The incumbent is responsible for monitoring, assessing, and deriving actionable insights from core KPIs (Sales & Profit, Marketing Performance, Site Performance, Partner Operational KPIs) to optimize performance and measure the impact of digital programs, products, and customer experiences. 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.

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.

#LI-DJ1

#INDM

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More about this job

Responsibilities

The manager will drive data-driven decision-making for the omnichannel business by monitoring KPIs and deriving actionable insights from sales, marketing, and site performance. They will also design reporting frameworks, manage BI tools, and collaborate with cross-functional teams to optimize digital programs and revenue growth.

Requirements

Candidates must possess a bachelor's degree in a quantitative field and 5-7 years of experience in website analytics, search engine marketing, and data analysis. Proficiency in SQL, programming languages, and data visualization tools is required, along with strong project and people management skills.

Skills

Data analytics
SQL
R
Python
C++
Excel
Tableau
Power BI
Adobe Analytics
Google Analytics
Project management
People management
Statistical analysis
Financial modeling
Marketing analytics
E-commerce

Benefits

Employee discount
Performance based incentive plan
Medical coverage
Dental coverage
Group RRSP plan
On-site gym
Subsidized cafeteria
Tuition reimbursement
Employee referral program
Virtual pet care
Well being days

Visa sponsorship

Not detected in the job text

Keywords

Data Analytics
Omnichannel
E-commerce
KPIs
SQL
Python
R
C++
Tableau
Power BI
Adobe Analytics
Google Analytics
Google Search Console
ETL
HTML
CSS
JavaScript
Agile
Marketing Analytics
Financial Modeling
Statistical Analysis
Consumer Electronics
SEO
SEM
Digital Advertising
Project Management
Data Visualization
Business Intelligence
Web Analytics
Dashboarding

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