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E-commerce Data Analyst

Remote / Online - Candidates ideally in
Gqeberha, Port Elizabeth, 6000, South Africa
Listing for: Placements24
Remote/Work from Home position
Listed on 2026-10-25
Job specializations:
  • IT/Tech
    Data Analyst, Ecommerce, Data Science Manager
Job Description & How to Apply Below
Location: Gqeberha

About the Role

Our client is actively seeking a talented and detail-oriented E-commerce Data Analyst to join their growing team, remotely serving their operations in Port Elizabeth, Eastern Cape . This critical role will be responsible for collecting, analyzing, and interpreting large datasets related to e-commerce performance, customer behavior, and market trends. The insights derived from your work will directly inform strategic decision-making across marketing, sales, product development, and operational functions.

The ideal candidate possesses strong quantitative skills, expertise in data visualization tools, and a deep understanding of e-commerce metrics. You will play a key role in uncovering opportunities for growth, optimizing conversion rates, and enhancing the overall customer experience. This remote position offers a unique opportunity to leverage data to drive success in a competitive online marketplace.

Key Responsibilities
  • Collect, clean, and process data from various sources, including web analytics, sales platforms, CRM, and social media.
  • Perform in-depth analysis of e-commerce website performance, user behavior, sales trends, and marketing campaign effectiveness.
  • Develop and maintain dashboards and reports to track key performance indicators (KPIs) such as conversion rates, customer lifetime value, AOV, and traffic sources.
  • Identify patterns, trends, and insights from data to provide actionable recommendations for business improvement.
  • Conduct A/B testing analysis to evaluate the impact of website changes and marketing initiatives.
  • Collaborate with cross-functional teams (marketing, sales, product, IT) to understand their data needs and provide analytical support.
  • Present complex data findings in a clear, concise, and visually compelling manner to both technical and non-technical stakeholders.
  • Stay current with industry best practices in data analytics, e-commerce, and data visualization techniques.
  • Develop predictive models to forecast sales and customer behavior where applicable.
Requirements
  • Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
  • Minimum of 3-5 years of experience in data analysis, preferably within an e-commerce or digital marketing environment.
  • Proficiency in data analysis tools and languages such as SQL, Python (Pandas, Num Py), or R.
  • Experience with web analytics platforms (e.g., Google Analytics, Adobe Analytics).
  • Strong data visualization skills using tools like Tableau, Power BI, or Looker.
  • Excellent understanding of statistical concepts and methodologies.
  • Ability to translate business questions into analytical frameworks and provide data-driven solutions.
  • Strong problem-solving skills and attention to detail.
  • Effective communication and presentation skills for conveying analytical insights.
  • Experience working in a remote team environment is advantageous.
Benefits
  • Competitive remote salary with potential for bonuses.
  • Comprehensive health and wellness benefits package.
  • Flexible work hours and a focus on work-life balance.
  • Opportunities for continuous learning and professional development, including access to online courses and certifications.
  • A supportive and collaborative remote team culture.
  • Home office stipend.
  • Contribution to a retirement savings plan.
  • Exposure to cutting-edge data analytics tools and techniques.
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