Senior E-commerce Data Analyst

Placements24; Randburg; Hybrid; ZAR 650.000 - 1.000.000; Vollzeit

Benefits dieser Stelle

Fully remote

Flexible schedule

Career growth opportunities

Zusammenfassung

Placements24 is seeking a highly analytical Senior E-commerce Data Analyst to join a fully remote team. You will analyze sales trends, customer behavior, and marketing campaign performance, and develop dashboards to track KPIs such as traffic, conversion, CAC, LTV, and sales.

You’ll translate insights into strategic recommendations for growth and profitability. The role requires 5+ years in data analytics (e-commerce preferred), strong SQL, expertise in Python/R and visualization tools, and

Qualifikationen

• Master's or Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or related quantitative field.
• 5+ years of experience as a Data Analyst, preferably in e-commerce.
• Strong proficiency in SQL for data extraction and manipulation.
• Expertise in data analysis and visualization tools such as Python (Pandas, NumPy), R, Tableau, Power BI, or similar.
• Proven experience with web analytics platforms (e.g., Google Analytics, Adobe Analytics).

Aufgaben

• Analyze e-commerce sales data, customer behavior patterns, and market trends to identify key business opportunities and challenges.
• Develop and maintain dashboards and reports to track KPIs related to website traffic, conversion rates, customer acquisition cost, lifetime value, and sales.
• Utilize data visualization tools to present complex data in an easily understandable format for various stakeholders.
• Conduct in-depth analysis of marketing campaigns to measure effectiveness and provide recommendations for optimization.
• Perform A/B testing analysis and provide insights to improve website user experience and conversion rates.
• Collaborate with product, marketing, and operations teams to provide data-driven insights and support strategic initiatives.
• Identify data quality issues and work with relevant teams to implement solutions.
• Develop predictive models to forecast sales trends and customer behavior.
• Stay current with the latest data analysis tools, techniques, and e-commerce best practices.
• Communicate findings and recommendations clearly and concisely to both technical and non-technical audiences.

Kenntnisse

SQL

Data visualization

Statistics

Remote work

Ausbildung

Bachelor's or Master's in a quantitative field

Tools

Python (Pandas, NumPy)

R

Tableau

Power BI

Jobbeschreibung

About the Role

Our client is seeking a highly analytical and experienced Senior E-commerce Data Analyst to join their fully remote team. This critical role involves diving deep into vast datasets to uncover actionable insights that drive strategic decision-making for our client's online business. You will be responsible for analyzing sales trends, customer behavior, marketing campaign performance, and website analytics to identify opportunities for growth, optimization, and efficiency. As a remote-first position, you will collaborate closely with stakeholders across various departments, leveraging your expertise to translate complex data into clear, compelling recommendations. The ideal candidate possesses a strong quantitative background, exceptional proficiency in data analysis tools and techniques, and a proven ability to communicate findings effectively. We are looking for a proactive individual who can not only identify patterns but also provide strategic guidance to enhance our client's e-commerce performance and profitability. This is an outstanding opportunity to contribute significantly to a forward-thinking company while enjoying the flexibility of a fully remote work arrangement.

Key Responsibilities

• Analyze e-commerce sales data, customer behavior patterns, and market trends to identify key business opportunities and challenges.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) related to website traffic, conversion rates, customer acquisition cost, lifetime value, and sales.
• Utilize data visualization tools to present complex data in an easily understandable format for various stakeholders.
• Conduct in-depth analysis of marketing campaigns to measure effectiveness and provide recommendations for optimization.
• Perform A/B testing analysis and provide insights to improve website user experience and conversion rates.
• Collaborate with product, marketing, and operations teams to provide data-driven insights and support strategic initiatives.
• Identify data quality issues and work with relevant teams to implement solutions.
• Develop predictive models to forecast sales trends and customer behavior.
• Stay current with the latest data analysis tools, techniques, and e-commerce best practices.
• Communicate findings and recommendations clearly and concisely to both technical and non-technical audiences.

Requirements

• Master's or Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• 5+ years of experience as a Data Analyst, preferably within the e-commerce industry.
• Strong proficiency in SQL for data extraction and manipulation.
• Expertise in data analysis and visualization tools such as Python (Pandas, NumPy), R, Tableau, Power BI, or similar.
• Proven experience with web analytics platforms (e.g., Google Analytics, Adobe Analytics).
• Solid understanding of statistical modeling and machine learning concepts.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to explain complex data to diverse audiences.
• Ability to work independently and manage projects effectively in a remote setting.
• Experience with A/B testing methodologies and analysis.

Benefits

This fully remote position offers a competitive salary and the opportunity to work on challenging data projects that directly impact a growing e-commerce business. Enjoy the flexibility and autonomy of working from home, collaborating with a talented and supportive remote team. Our client provides excellent opportunities for professional growth, continuous learning, and career advancement in the field of data analytics.