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Senior E-commerce Data Analyst

Remote / Online - Candidates ideally in
Benoni, 1501, South Africa
Listing for: Placements24
Remote/Work from Home position
Listed on 2026-10-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Job Description & How to Apply Below
Location: Benoni

About the Role

Our client, a leading player in the competitive e-commerce market, is seeking a highly analytical and insightful Senior E-commerce Data Analyst to join their fully remote team. This crucial role will involve diving deep into complex datasets to uncover actionable insights that drive strategic decision-making across marketing, sales, and operations. You will be instrumental in shaping our understanding of customer behavior, campaign effectiveness, and overall business performance.

The ideal candidate possesses a strong quantitative background, exceptional data visualization skills, and a proven ability to translate data into compelling narratives that inform business strategy. As a fully remote position, you can work from anywhere in South Africa
, contributing your expertise to a dynamic and innovative online business. Our client fosters a culture of data-driven decision-making, continuous learning, and collaborative problem-solving, offering a stimulating environment for ambitious professionals. Join us in unlocking the power of data to propel our client's e-commerce success.

Key Responsibilities
  • Collect, clean, and analyze large datasets from various sources (e.g., website analytics, CRM, sales data, marketing platforms).
  • Develop and maintain dashboards and reports to track key e-commerce performance indicators (KPIs).
  • Conduct in-depth analysis of customer behavior, purchasing patterns, and campaign performance to identify trends and opportunities.
  • Provide actionable insights and recommendations to stakeholders across marketing, sales, product, and operations teams.
  • Utilize statistical modeling and data mining techniques to forecast trends and predict future outcomes.
  • Create clear and compelling data visualizations to communicate complex findings to both technical and non-technical audiences.
  • Collaborate with the engineering team to ensure data accuracy and implement improvements to data collection processes.
  • Identify opportunities for A/B testing and provide analytical support for optimization efforts.
  • Stay up-to-date with the latest trends and technologies in data analytics and e-commerce.
  • Mentor junior analysts and contribute to the development of a data-literate culture within the organization.
Requirements
  • Master's degree or equivalent experience in Statistics, Data Science, Economics, Mathematics, Computer Science, or a related quantitative field.
  • Minimum of 5 years of experience in data analysis, with a specific focus on e-commerce or online retail.
  • Proficiency in SQL for data extraction and manipulation.
  • Strong experience with data visualization tools such as Tableau, Power BI, or similar.
  • Advanced knowledge of statistical analysis and modeling techniques.
  • Proficiency in programming languages commonly used in data analysis, such as Python or R.
  • Experience with web analytics platforms (e.g., Google Analytics) and understanding of e-commerce metrics.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation skills, with the ability to explain complex data insights clearly.
  • Ability to work independently and manage projects effectively in a remote environment.
Benefits
  • A highly competitive annual salary of R, commensurate with your expertise.
  • Enjoy the flexibility of a fully remote work arrangement, based anywhere in South Africa
    .
  • Significant opportunities for professional growth, learning, and career advancement in data science and analytics.
  • Be part of a data-driven company culture that values insights and innovation.
  • Comprehensive health and wellness benefits package.
  • Attractive employee discounts on a wide range of products.
  • Access to cutting-edge analytical tools and training resources.
  • A collaborative environment where your analytical contributions are highly valued.
Position Requirements
10+ Years work experience
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