Senior E-commerce Data Analyst

Placements24; Benoni; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Fully remote

Work from anywhere in South Africa

Career growth opportunities

Health and wellness benefits

Employee discounts

Access to analytical tools and培训

Job summary

Placements24 is seeking a Senior E-commerce Data Analyst for a fully remote role based in South Africa. You will dive into large datasets to reveal actionable insights guiding marketing, sales, and operations.

The ideal candidate has a strong quantitative background, expertise in SQL and visualization tools, and experience translating data into strategic narratives. This remote position offers flexibility and opportunities to impact a growing online business.

Qualifications

• Master's degree or equivalent in Statistics, Data Science, Economics, Mathematics, Computer Science, or related quantitative field.
• Minimum of 5 years of data analysis experience, with a focus on e-commerce/online retail.
• Proficiency in SQL for data extraction and manipulation.
• Strong experience with data visualization tools such as Tableau, Power BI, or similar.
• Advanced knowledge of statistical analysis and modeling techniques.
• Proficiency in Python or R for data analysis.
• Experience with web analytics platforms (e.g., Google Analytics) and understanding of e-commerce metrics.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and manage projects remotely.

Responsibilities

• Collect, clean, and analyze large datasets from analytics, CRM, sales sources.
• Develop and maintain dashboards to track e-commerce KPIs.
• Analyze customer behavior, purchasing patterns, and campaign performance to identify trends.
• Provide actionable insights and recommendations to stakeholders across marketing, sales, product, and ops.
• Utilize statistical modeling to forecast trends and future outcomes.
• Create clear data visualizations to communicate findings to technical and non-technical audiences.
• Collaborate with engineering to ensure data accuracy and improve data collection processes.
• Identify opportunities for A/B testing and support optimization efforts.
• Stay up-to-date with trends in data analytics and e-commerce.
• Mentor junior analysts and promote data-literate culture.

Skills

SQL proficiency

Tableau/Power BI

Python/R

Statistical modeling

Communication

Education

Master's degree in Statistics/Data Science/Economics/Math/CS

Tools

Google Analytics

Tableau

Power BI

Job description

About the Role

Our client, a leading player in the competitive e-commerce market, is seeking a highly analytical and insightful Senior E-commerce Data Analyst to join their fully remote team. This crucial role will involve diving deep into complex datasets to uncover actionable insights that drive strategic decision-making across marketing, sales, and operations. You will be instrumental in shaping our understanding of customer behavior, campaign effectiveness, and overall business performance. The ideal candidate possesses a strong quantitative background, exceptional data visualization skills, and a proven ability to translate data into compelling narratives that inform business strategy. As a fully remote position, you can work from anywhere in South Africa, contributing your expertise to a dynamic and innovative online business. Our client fosters a culture of data-driven decision-making, continuous learning, and collaborative problem-solving, offering a stimulating environment for ambitious professionals. Join us in unlocking the power of data to propel our client's e-commerce success.

Key Responsibilities

• Collect, clean, and analyze large datasets from various sources (e.g., website analytics, CRM, sales data, marketing platforms).
• Develop and maintain dashboards and reports to track key e-commerce performance indicators (KPIs).
• Conduct in-depth analysis of customer behavior, purchasing patterns, and campaign performance to identify trends and opportunities.
• Provide actionable insights and recommendations to stakeholders across marketing, sales, product, and operations teams.
• Utilize statistical modeling and data mining techniques to forecast trends and predict future outcomes.
• Create clear and compelling data visualizations to communicate complex findings to both technical and non-technical audiences.
• Collaborate with the engineering team to ensure data accuracy and implement improvements to data collection processes.
• Identify opportunities for A/B testing and provide analytical support for optimization efforts.
• Stay up-to-date with the latest trends and technologies in data analytics and e-commerce.
• Mentor junior analysts and contribute to the development of a data-literate culture within the organization.

Requirements

• Master's degree or equivalent experience in Statistics, Data Science, Economics, Mathematics, Computer Science, or a related quantitative field.
• Minimum of 5 years of experience in data analysis, with a specific focus on e-commerce or online retail.
• Proficiency in SQL for data extraction and manipulation.
• Strong experience with data visualization tools such as Tableau, Power BI, or similar.
• Advanced knowledge of statistical analysis and modeling techniques.
• Proficiency in programming languages commonly used in data analysis, such as Python or R.
• Experience with web analytics platforms (e.g., Google Analytics) and understanding of e-commerce metrics.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex data insights clearly.
• Ability to work independently and manage projects effectively in a remote environment.

Benefits

• A highly competitive annual salary of R, commensurate with your expertise.
• Enjoy the flexibility of a fully remote work arrangement, based anywhere in South Africa.
• Significant opportunities for professional growth, learning, and career advancement in data science and analytics.
• Be part of a data-driven company culture that values insights and innovation.
• Comprehensive health and wellness benefits package.
• Attractive employee discounts on a wide range of products.
• Access to cutting-edge analytical tools and training resources.
• A collaborative environment where your analytical contributions are highly valued.