Job opportunity
Senior E-commerce Analyst
Placements24
About the Role
Our client, a prominent online retailer, is seeking an experienced Senior E-commerce Analyst to join their data and analytics team in
Kimberley, Northern Cape . This role is pivotal in providing deep insights into customer behavior, sales performance, and website optimization to drive strategic decision-making and enhance the overall e-commerce experience. The ideal candidate will possess strong analytical skills, expertise in data interpretation and visualization, and a thorough understanding of e-commerce metrics and methodologies. You will be responsible for conducting complex analyses, identifying key trends, and translating data into actionable recommendations for various departments, including marketing, product, and operations. This is an excellent opportunity for a data-driven professional to make a significant impact within a leading online business.
Key Responsibilities
Conduct in-depth analysis of e-commerce website performance, including traffic, conversion rates, sales funnels, and customer journeys.
Develop and maintain dashboards and reports to track key performance indicators (KPIs) across the e-commerce business.
Identify trends, patterns, and insights from large datasets to inform business strategy and decision-making.
Perform A/B testing analysis and provide recommendations for website and campaign optimization.
Analyze customer segmentation, behavior, and loyalty to inform marketing and personalization efforts.
Collaborate with marketing, product, and IT teams to define data requirements and ensure data accuracy.
Present findings and recommendations to stakeholders in a clear and concise manner, both verbally and in writing.
Stay abreast of industry best practices in e-commerce analytics and data science.
Mentor junior analysts and contribute to the development of the analytics function.
Requirements
Master's degree or equivalent experience in Statistics, Economics, Mathematics, Computer Science, or a related quantitative field.
Minimum of 6 years of experience in data analysis, with a strong focus on e-commerce analytics.
Expert proficiency in web analytics tools such as Google Analytics, Adobe Analytics, or similar.
Advanced skills in SQL for data extraction and manipulation.
Experience with data visualization tools (e.g., Tableau, Power BI).
Strong understanding of statistical modeling and A/B testing methodologies.
Excellent analytical, problem-solving, and critical thinking skills.
Proficiency in statistical programming languages (e.g., R, Python) is a significant advantage.
Strong communication and presentation skills, with the ability to explain complex data to non-technical audiences.
Benefits
Highly competitive salary and comprehensive benefits package.
Hybrid work model offering flexibility and work-life balance in
Kimberley .
Significant opportunities for professional growth and career advancement.
Access to advanced analytics tools and technologies.
Collaborative and intellectually stimulating work environment.
Contribution towards professional development and certifications.
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Apply on source site Our client, a prominent online retailer, is seeking an experienced Senior E-commerce Analyst to join their data and analytics team in
Kimberley, Northern Cape . This role is pivotal in providing deep insights into customer behavior, sales performance, and website optimization to drive strategic decision-making and enhance the overall e-commerce experience. The ideal candidate will possess strong analytical skills, expertise in data interpretation and visualization, and a thorough understanding of e-commerce metrics and methodologies. You will be responsible for conducting complex analyses, identifying key trends, and translating data into actionable recommendations for various departments, including marketing, product, and operations. This is an excellent opportunity for a data-driven professional to make a significant impact within a leading online business.
Key Responsibilities
Conduct in-depth analysis of e-commerce website performance, including traffic, conversion rates, sales funnels, and customer journeys.
Develop and maintain dashboards and reports to track key performance indicators (KPIs) across the e-commerce business.
Identify trends, patterns, and insights from large datasets to inform business strategy and decision-making.
Perform A/B testing analysis and provide recommendations for website and campaign optimization.
Analyze customer segmentation, behavior, and loyalty to inform marketing and personalization efforts.
Collaborate with marketing, product, and IT teams to define data requirements and ensure data accuracy.
Present findings and recommendations to stakeholders in a clear and concise manner, both verbally and in writing.
Stay abreast of industry best practices in e-commerce analytics and data science.
Mentor junior analysts and contribute to the development of the analytics function.
Requirements
Master's degree or equivalent experience in Statistics, Economics, Mathematics, Computer Science, or a related quantitative field.
Minimum of 6 years of experience in data analysis, with a strong focus on e-commerce analytics.
Expert proficiency in web analytics tools such as Google Analytics, Adobe Analytics, or similar.
Advanced skills in SQL for data extraction and manipulation.
Experience with data visualization tools (e.g., Tableau, Power BI).
Strong understanding of statistical modeling and A/B testing methodologies.
Excellent analytical, problem-solving, and critical thinking skills.
Proficiency in statistical programming languages (e.g., R, Python) is a significant advantage.
Strong communication and presentation skills, with the ability to explain complex data to non-technical audiences.
Benefits
Highly competitive salary and comprehensive benefits package.
Hybrid work model offering flexibility and work-life balance in
Kimberley .
Significant opportunities for professional growth and career advancement.
Access to advanced analytics tools and technologies.
Collaborative and intellectually stimulating work environment.
Contribution towards professional development and certifications.
#J-18808-Ljbffr