Senior E‑commerce Analytics Lead (Hybrid/Remote)

Placements24

South Africa

Hybrid

ZAR 900,000 - 1,300,000

Full time

4 days ago
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Benefits offered by this job

Hybrid work model
Office in Polokwane

Job summary

Placements24 seeks a Senior E-commerce Analyst in Polokwane, Limpopo, to lead data-driven decisions across online sales, marketing, and user experience. You will transform complex data into clear recommendations, driving conversion optimization and revenue growth in a hybrid work setting.

You will build dashboards in Tableau or Power BI, work with SQL, Python and R, run A/B tests, monitor KPIs, and present insights to senior management.

Qualifications

  • Bachelor's degree in a quantitative field.
  • 5+ years in e-commerce analytics or similar.
  • Proficiency with web analytics tools (GA, Adobe).
  • Strong data manipulation with SQL, Python, R.
  • Experience with data visualization tools (Tableau, Power BI, Looker).
  • Solid knowledge of A/B testing and statistics.
  • Excellent analytical and communication skills.

Responsibilities

  • Analyze e-commerce data to identify trends and insights.
  • Develop and maintain dashboards and reports using Tableau/Power BI.
  • Identify KPIs and track progress towards business goals.
  • Provide data-driven recommendations to optimize conversion and AOV.
  • Conduct A/B testing and experiments to evaluate changes.
  • Monitor market trends and competitor performance.

Skills

Web analytics
SQL
Python
R
Tableau
Power BI
Looker
A/B testing
Statistical analysis
Communication

Education

Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business

Tools

Google Analytics
Adobe Analytics

Job description

Placements24 seeks a Senior E-commerce Analyst in Polokwane, Limpopo, to lead data-driven decisions across online sales, marketing, and user experience. You will transform complex data into clear recommendations, driving conversion optimization and revenue growth in a hybrid work setting.

You will build dashboards in Tableau or Power BI, work with SQL, Python and R, run A/B tests, monitor KPIs, and present insights to senior management.

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