E-commerce Performance Analyst

Placements24

LegKraal Gate

Hybrid

ZAR 360,000 - 600,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work
Health insurance
Generous leave
Career growth

Job summary

Placements24 is seeking a data-driven E-commerce Performance Analyst to join our client in Mahikeng. You will interpret complex data to uncover insights that improve online customer experience and sales performance, track KPIs, and generate reports with recommendations.

The ideal candidate has strong quantitative skills, experience with web analytics (GA/Adobe), SQL, and data visualization tools (Tableau/Power BI). You will collaborate across marketing, sales, and product teams to drive growth.

Qualifications

  • Bachelor's degree in a quantitative field.
  • Proven experience in e-commerce analytics.
  • Proficiency with web analytics platforms.
  • Strong data visualization and reporting skills.
  • Experience with A/B testing.

Responsibilities

  • Monitor and analyze key e-commerce performance metrics.
  • Develop dashboards and reports to visualize performance data for stakeholders.
  • Analyze customer behavior, sales trends, and marketing campaign effectiveness.
  • Perform A/B testing and interpret results for optimization.
  • Collaborate with marketing, sales, and product teams to translate data insights into strategies.
  • Stay abreast of analytics best practices and tools.

Skills

Web analytics tools
Data manipulation
Statistical analysis
Data visualization
A/B testing

Education

Bachelor's degree in a quantitative field

Tools

Google Analytics
Adobe Analytics
Excel
SQL
Tableau
Power BI

Job description

About the Role

Our client is seeking a data-driven and analytical E-commerce Performance Analyst to join their team in Mahikeng . This role is vital for interpreting complex data to uncover insights that drive strategic decision-making and optimize the online customer experience and sales performance. You will be responsible for tracking key performance indicators, generating reports, and providing actionable recommendations to enhance website conversion rates, customer engagement, and overall profitability. The ideal candidate possesses strong quantitative skills and a passion for using data to solve business challenges in the e-commerce landscape.

Key Responsibilities
  • Monitor and analyze key e-commerce performance metrics, including website traffic, conversion rates, average order value, customer acquisition cost, and customer lifetime value.
  • Develop and maintain comprehensive dashboards and reports to visualize performance data for various stakeholders.
  • Conduct in-depth analysis of customer behavior, sales trends, and marketing campaign effectiveness to identify opportunities and risks.
  • Perform A/B testing and other experiments, analyzing results to provide data-backed recommendations for website optimization and marketing strategies.
  • Collaborate with marketing, sales, and product teams to translate data insights into actionable business strategies.
  • Stay abreast of industry best practices in e-commerce analytics and reporting tools.
Requirements
  • Proven experience as a Data Analyst, Business Analyst, or Performance Analyst, with a strong focus on e-commerce.
  • Proficiency in web analytics tools such as Google Analytics, Adobe Analytics, or similar platforms.
  • Strong skills in data manipulation, statistical analysis, and visualization using tools like Excel, SQL, Tableau, or Power BI.
  • Experience with A/B testing methodologies and tools.
  • Excellent ability to communicate complex data findings clearly and concisely to both technical and non-technical audiences.
  • A Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Marketing, or a related quantitative field.
Benefits
  • Competitive salary with performance-based incentives.
  • Hybrid work model offering a blend of office and remote work flexibility.
  • Comprehensive health insurance and wellness programs.
  • Generous annual leave and company-recognized holidays.
  • Opportunities for professional growth and advanced training in data analytics.
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