E-commerce Analyst (Remote)

Placements24

Kimberley

Hybrid

CAD 70,000 - 90,000

Full time

3 days ago
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Benefits offered by this job

Health, dental, and vision insurance
Full remote work arrangement
Professional development budget
Performance-based bonuses

Job summary

Placements24 is seeking a highly analytical E-commerce Analyst to drive data-informed decisions for an online business in a fully remote capacity. You will collect, analyze, and interpret large data sets on website performance, customer behavior, sales trends, and marketing effectiveness, turning insights into actionable strategies.

The role requires strong quantitative skills, data visualization expertise, and the ability to communicate complex findings to both technical and non-technical

Qualifications

  • Proven experience in e-commerce analytics, data analysis, or business intelligence.
  • Strong proficiency in data visualization and reporting tools.
  • Experience with web analytics platforms and translating data into actionable insights.

Responsibilities

  • Collect, clean, and analyze large datasets related to e-commerce performance, customer behavior, and marketing campaigns.
  • Develop dashboards and reports to visualize KPIs and present findings to stakeholders.
  • Identify trends and insights to inform website optimization, marketing spend, and customer segmentation.
  • Conduct in-depth analysis of website traffic, conversion rates, and customer lifetime value.
  • Collaborate with cross-functional teams to provide data-driven recommendations for revenue growth.
  • Stay current with industry best practices in data analysis and e-commerce analytics tools.

Skills

SQL
Excel
Tableau
Power BI
Google Analytics
Adobe Analytics
Data visualization

Tools

Power BI
Tableau
Google Analytics
Adobe Analytics

Job description

About the Role

Our client is seeking a highly analytical and insightful E-commerce Analyst to join their team in a fully remote capacity. This role is essential for driving data-informed decision-making across all facets of the online business. You will be responsible for collecting, analyzing, and interpreting complex data sets related to website performance, customer behavior, sales trends, and marketing campaign effectiveness. The ideal candidate possesses a strong quantitative aptitude, excellent data visualization skills, and the ability to translate data into actionable business strategies for enhanced e-commerce performance.

Key Responsibilities
  • Collect, clean, and analyze large datasets related to e-commerce performance , customer behavior, and marketing campaigns.
  • Develop dashboards and reports to visualize key performance indicators (KPIs) and present findings to stakeholders in a clear and concise manner.
  • Identify trends, patterns, and insights within the data to inform strategic decisions regarding website optimization, marketing spend, and customer segmentation.
  • Conduct in-depth analysis of website traffic, conversion rates, customer lifetime value, and A/B test results.
  • Collaborate with cross-functional teams (marketing, product, operations) to provide data-driven recommendations for improving customer experience and driving revenue growth.
  • Stay current with industry best practices in data analysis and e-commerce analytics tools.
Requirements
  • Proven experience as an E-commerce Analyst , Data Analyst, or Business Intelligence Analyst.
  • Strong proficiency in data analysis and visualization tools such as SQL, Excel, Tableau, Power BI, or similar.
  • Experience with web analytics platforms (e.g., Google Analytics, Adobe Analytics).
  • Excellent quantitative and analytical skills with a keen eye for detail.
  • Ability to communicate complex data findings effectively to both technical and non-technical audiences.
  • Demonstrated ability to work independently and manage projects in a remote environment.
Benefits
  • Competitive salary and performance-based bonuses.
  • Full remote work arrangement, offering unparalleled flexibility.
  • Comprehensive health, dental, and vision insurance.
  • Generous professional development budget for courses and certifications.
  • A collaborative and data-centric work environment.
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