E-commerce Digital Analyst

Placements24

LegKraal Gate

On-site

ZAR 360,000 - 540,000

Full time

3 days ago
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Benefits offered by this job

Health, dental, and vision insurance
Professional development opportunities
Collaborative work environment

Job summary

Placements24 is seeking an E-commerce Digital Analyst to join its team in Mahikeng. You will collect, analyze, and interpret data from website analytics, campaigns, and user behavior to drive online sales and improve user experience.

You will develop dashboards and reports, track KPIs, and provide data-driven recommendations. The role emphasizes testing (A/B and multivariate) and collaboration with marketing, product, and IT teams.

Qualifications

  • Experience as Digital/Web/Data Analyst with ecommerce focus.
  • Proficiency with web analytics tools (GA/Adobe Analytics).
  • Strong understanding of A/B testing methodologies and tools.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Proficiency in data visualization and reporting tools.

Responsibilities

  • Collect, analyze, and interpret data from website analytics, marketing campaigns, and customer behavior metrics.
  • Develop reports and dashboards to track KPIs such as conversion rates, traffic sources, and customer acquisition cost.
  • Identify trends, patterns, and anomalies in data to provide actionable insights for improving website performance and marketing strategies.
  • Conduct A/B testing and multivariate testing to optimize website elements, user flows, and conversion funnels.
  • Collaborate with marketing, product, and IT teams to implement data-driven recommendations.
  • Stay current with industry best practices and emerging tools in web analytics and data analysis.

Skills

Digital analytics
Web analytics
A/B testing
Data visualization
Problem solving
Statistical analysis

Education

Bachelor's degree in quantitative field

Tools

Google Analytics
Adobe Analytics

Job description

About the Role

Our client is seeking a highly analytical and detail-oriented E-commerce Digital Analyst to join their team in Mahikeng . This role is crucial for understanding customer behavior, optimizing website performance, and driving data-informed decisions to enhance online sales and user experience. You will be responsible for collecting, analyzing, and interpreting data from various digital sources to provide actionable insights and strategic recommendations. The ideal candidate is passionate about data, possesses strong analytical skills, and has a proven track record in using data to improve e-commerce outcomes.

Key Responsibilities
  • Collect, analyze, and interpret data from website analytics, marketing campaigns, and customer behavior metrics.
  • Develop reports and dashboards to track key performance indicators (KPIs) such as conversion rates, traffic sources, and customer acquisition cost.
  • Identify trends, patterns, and anomalies in data to provide actionable insights for improving website performance and marketing strategies.
  • Conduct A/B testing and multivariate testing to optimize website elements, user flows, and conversion funnels.
  • Collaborate with marketing, product, and IT teams to implement data-driven recommendations.
  • Stay current with industry best practices and emerging tools in web analytics and data analysis.
Requirements
  • Proven experience as a Digital Analyst , Web Analyst, or Data Analyst, with a strong focus on e-commerce .
  • Proficiency with web analytics tools such as Google Analytics, Adobe Analytics, or similar.
  • Strong understanding of A/B testing methodologies and tools.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Proficiency in data visualization and reporting tools.
  • Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
Benefits
  • Competitive annual salary and potential for performance-based bonuses.
  • Full-time employment with a stable and growing company.
  • Comprehensive health, dental, and vision insurance.
  • Opportunities for professional development and specialized training.
  • A collaborative work environment that values data-driven insights and innovation.
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