Senior E-commerce Data Analyst

Placements24; LegKraal Gate; Hybrid; ZAR 600,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid work model

Medical aid

Retirement fund contributions

Professional development opportunities

Performance bonuses

Job summary

Placements24 in Mahikeng, North West invites an experienced Senior E-commerce Data Analyst to join our data-driven team. You will collect and interpret large datasets from website analytics, sales, and marketing platforms to drive online performance and conversion optimization.

You will build dashboards, perform A/B testing analyses, and develop predictive models while communicating insights to stakeholders. Hybrid work and professional development are offered.

Qualifications

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
• Minimum of 5 years of experience in data analysis, with a significant focus on the e-commerce sector.
• Proficiency in SQL for data extraction and manipulation.
• Expertise in data visualization tools such as Tableau, Power BI, or similar.
• Strong analytical and statistical modeling skills.
• Experience with web analytics platforms (e.g., Google Analytics, Adobe Analytics).
• Proficiency in statistical programming languages like R or Python is highly desirable.
• Excellent problem-solving skills and attention to detail.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Ability to work effectively in a hybrid work model in our Mahikeng, North West office.

Responsibilities

• Collect, clean, and analyze large datasets from various sources (e.g., website analytics, sales data, customer databases, marketing platforms).
• Develop and maintain dashboards and reports to track key e-commerce performance indicators (KPIs).
• Identify trends, patterns, and anomalies in data to uncover insights related to customer behavior, sales, marketing effectiveness, and operational efficiency.
• Perform A/B testing analysis and provide recommendations for optimization.
• Collaborate with marketing, product, and sales teams to understand their data needs and provide analytical support.
• Build predictive models and forecasts to support strategic planning.
• Communicate complex findings and recommendations clearly and concisely to stakeholders at all levels through presentations and written reports.
• Ensure data accuracy and integrity across all reporting and analysis.
• Stay abreast of the latest data analysis tools, techniques, and best practices in the e-commerce industry.
• Identify opportunities for data-driven improvements to the customer journey and overall business strategy.

Job description

About the Role

Our client, a leading e-commerce enterprise, is seeking a highly analytical and detail-oriented Senior E-commerce Data Analyst to join their growing team. This role, based in Mahikeng, North West , will be responsible for extracting, analyzing, and interpreting complex datasets to provide actionable insights that drive business decisions and optimize e-commerce performance. The ideal candidate will possess strong technical skills in data manipulation and visualization, coupled with a deep understanding of e-commerce metrics and trends. You will play a critical role in understanding customer behavior, identifying growth opportunities, and improving conversion rates. This is an exceptional opportunity for a data-driven professional to make a tangible impact on a dynamic online business.

Key Responsibilities

• Collect, clean, and analyze large datasets from various sources (e.g., website analytics, sales data, customer databases, marketing platforms).
• Develop and maintain dashboards and reports to track key e-commerce performance indicators (KPIs).
• Identify trends, patterns, and anomalies in data to uncover insights related to customer behavior, sales, marketing effectiveness, and operational efficiency.
• Perform A/B testing analysis and provide recommendations for optimization.
• Collaborate with marketing, product, and sales teams to understand their data needs and provide analytical support.
• Build predictive models and forecasts to support strategic planning.
• Communicate complex findings and recommendations clearly and concisely to stakeholders at all levels through presentations and written reports.
• Ensure data accuracy and integrity across all reporting and analysis.
• Stay abreast of the latest data analysis tools, techniques, and best practices in the e-commerce industry.
• Identify opportunities for data-driven improvements to the customer journey and overall business strategy.

Requirements

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
• Minimum of 5 years of experience in data analysis, with a significant focus on the e-commerce sector.
• Proficiency in SQL for data extraction and manipulation.
• Expertise in data visualization tools such as Tableau, Power BI, or similar.
• Strong analytical and statistical modeling skills.
• Experience with web analytics platforms (e.g., Google Analytics, Adobe Analytics).
• Proficiency in statistical programming languages like R or Python is highly desirable.
• Excellent problem-solving skills and attention to detail.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Ability to work effectively in a hybrid work model in our Mahikeng, North West office.

Benefits

• Our client offers a competitive salary and benefits package, including medical aid and retirement fund contributions.
• Employees will have access to professional development opportunities, including advanced training in data analytics and visualization tools.
• This role offers a hybrid work model, providing flexibility between remote work and collaborative in-office sessions at our modern facility in Mahikeng, North West.
• Employees will benefit from a stimulating work environment and the chance to work with cutting-edge data technologies.
• Opportunities for career advancement within the data analytics team are significant.
• Standard paid time off and performance bonuses may be available.