Remote E-commerce Analytics Lead

Placements24

Kimberley

Hybrid

CAD 90,000 - 130,000

Full time

2 days ago
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Benefits offered by this job

Remote work
Professional development budget
Health and dental insurance
Performance-based bonus

Job summary

Placements24 is seeking a highly analytical and strategic Remote E-commerce Analytics Lead to drive data-informed decision-making across online channels. This remote role, with collaboration originating from Kimberley, involves dashboards, reports, and actionable recommendations to optimize the customer journey and profitability.

You will build dashboards, analyze campaigns and customer behavior, and present insights to marketing, product, and operations teams while leveraging GA/Adobe Analytics

Qualifications

  • 5+ years of data analysis experience, preferably in e-commerce.
  • Experience with web analytics platforms (GA/Adobe Analytics).
  • Proficient in SQL, Excel, Python or R for data analysis.
  • Experience with Tableau or Power BI for dashboards.
  • Strong communication and ability to present insights clearly.

Responsibilities

  • Develop and maintain dashboards and reports tracking ecommerce KPIs.
  • Analyze customer behavior, campaigns, and sales performance to find trends.
  • Provide actionable insights to marketing, product and operations teams.
  • Implement analytics tracking tools and ensure data accuracy.
  • Conduct deep-dive analyses and present findings to stakeholders.
  • Stay updated on industry best practices in ecommerce analytics.

Skills

Analytical skills
Data storytelling
Strategic thinking

Education

Bachelor's degree in Statistics/Mathematics/Economics/CS
Master's degree

Tools

SQL
Excel
Python
R
Tableau
Power BI
Google Analytics
Adobe Analytics

Job description

About the Role

Our client is seeking a highly analytical and strategic Remote E-commerce Analytics Lead to drive data-informed decision-making across their online business. This remote role, with strong collaboration originating from Kimberley , will involve diving deep into e-commerce data to uncover insights on customer behavior, sales trends, marketing effectiveness, and operational performance. You will be responsible for building dashboards, generating reports, and providing actionable recommendations to optimize the customer journey, improve conversion rates, and maximize profitability. This is a crucial position for a seasoned analyst who can translate complex data into clear business strategies.

Key Responsibilities
  • Develop and maintain comprehensive dashboards and reports tracking key e-commerce KPIs (e.g., conversion rates, AOV, LTV, traffic sources).
  • Analyze customer behavior, purchase patterns, and marketing campaign performance to identify key trends and opportunities.
  • Provide actionable insights and strategic recommendations to the marketing, product, and operations teams to drive growth and improve efficiency.
  • Implement and manage analytics tracking tools (e.g., Google Analytics, Tag Manager) and ensure data accuracy.
  • Conduct deep-dive analyses into specific business questions and present findings to stakeholders.
  • Stay abreast of industry best practices in e-commerce analytics and data visualization.
Requirements
  • 5+ years of experience in data analysis, preferably within an e-commerce environment.
  • Expertise in using web analytics platforms such as Google Analytics, Adobe Analytics, or similar.
  • Strong proficiency in data manipulation and analysis tools (e.g., SQL, Excel, Python/R for data analysis).
  • Experience with data visualization tools (e.g., Tableau, Power BI) is highly desirable.
  • Excellent analytical, problem-solving, and communication skills, with the ability to present complex data clearly.
  • Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
Benefits
  • Competitive salary and performance-based bonus structure.
  • Full remote work flexibility, enabling a great work-life balance.
  • Comprehensive medical, dental, and vision insurance.
  • Significant budget for professional development, conferences, and learning resources.
  • Opportunity to shape the data strategy of a growing e-commerce company.
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