E-commerce Analyst
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About the Role
Our client is looking for a data-savvy and analytical E-commerce Analyst to join their team in Mahikeng . This role is pivotal in driving informed decision-making by analyzing vast amounts of data related to website performance, customer behavior, sales trends, and marketing campaign effectiveness. You will provide actionable insights to optimize the user experience, enhance conversion rates, and boost overall revenue for their e-commerce platform. This hybrid role combines the need for focused data analysis with collaborative team sessions, offering a dynamic work environment.
Key Responsibilities
- Collect, clean, and analyze data from various sources, including website analytics, sales data, CRM, and marketing platforms.
- Develop and maintain dashboards and reports to track key performance indicators (KPIs) for e-commerce operations and marketing initiatives.
- Identify trends, patterns, and anomalies in customer behavior, sales data, and website performance to uncover growth opportunities.
- Provide actionable insights and recommendations to stakeholders to optimize marketing strategies, website user experience, and product offerings.
- Conduct A/B testing analysis and provide recommendations for conversion rate optimization (CRO).
- Monitor industry benchmarks and competitor performance to inform strategic planning.
Requirements
- Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Business Analytics, or a related quantitative field.
- Proven experience as an E-commerce Analyst, Data Analyst, or similar role with a focus on online retail .
- Proficiency in data analysis tools and techniques (e.g., SQL, Excel, Python/R for data analysis).
- Strong understanding of web analytics tools such as Google Analytics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to communicate complex data insights clearly and concisely to both technical and non-technical audiences in a hybrid work setting.
Benefits
- Competitive annual salary.
- Hybrid work model providing a balance between remote work and office presence.
- Opportunity to work with large datasets and influential insights within the e-commerce sector .
- Access to advanced analytics tools and training.
- A collaborative environment that values data-driven decision-making.
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