Senior E-commerce Data Analyst

Placements24; Paarl; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Medical aid

Retirement fund

Hybrid work

Professional development

Job summary

Placements24 seeks a Senior E-commerce Data Analyst to transform data into actionable insights, optimize the customer journey, and drive growth in Paarl. You will work hybrid, collaborating across marketing, product, and operations to deliver data-driven recommendations.

Ideal candidates have strong SQL, data visualization, and Python/R skills, with 5+ years in e-commerce analytics. Join a dynamic team shaping strategic decisions through analytics.

Qualifications

• Master's or Bachelor's in a quantitative field.
• Minimum 5 years as a Data Analyst in e-commerce or digital marketing.
• Strong SQL proficiency.
• Experience with data visualization tools (Tableau/Power BI/Looker).
• Python or R for analytics.

Responsibilities

• Collect, clean, and analyze large datasets related to e-commerce performance, customer behavior, and marketing campaigns.
• Develop and maintain dashboards and reports to track KPIs such as conversion rates, CLV, AOV, and churn rate.
• Identify trends, patterns, and insights to inform business strategy and decision-making.
• Conduct deep-dive analyses into areas of the e-commerce funnel: acquisition, engagement, conversion, retention.
• Collaborate with marketing, product, and operations to provide data-driven recommendations for improvement.
• Perform A/B testing analysis and provide insights to optimize website features, marketing campaigns, and user experience.
• Build predictive models to forecast sales, customer behavior, and other key metrics.
• Present findings clearly to stakeholders at various levels of the organization.
• Stay updated with new data analysis tools, techniques, and industry trends.
• Ensure data integrity and accuracy across all reporting and analysis.

Skills

SQL

Tableau

Power BI

Looker

Python

R

A/B testing

Data storytelling

Communication

Education

Bachelor's or Master's in Statistics/Math/Economics/CS/Data Science

Tools

Google Analytics

Adobe Analytics

ETL tools

Data Warehousing

Job description

About the Role

Our client, a prominent player in the online retail sector, is seeking an experienced and insightful Senior E-commerce Data Analyst to join their dynamic team in Paarl, Western Cape, ZA . This role offers a hybrid work arrangement, providing flexibility and work-life balance. You will be instrumental in leveraging data to drive strategic decisions, optimize the customer journey, and enhance overall business performance. The ideal candidate possesses strong analytical skills, a deep understanding of e-commerce metrics, and the ability to translate complex data into actionable insights. This position is key to uncovering growth opportunities and improving the effectiveness of our client's online operations.

Key Responsibilities

• Collect, clean, and analyze large datasets related to e-commerce performance, customer behavior, and marketing campaigns.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) such as conversion rates, customer lifetime value, AOV, and churn rate.
• Identify trends, patterns, and insights within the data to inform business strategy and decision-making.
• Conduct deep-dive analyses into specific areas of the e-commerce funnel, such as acquisition, engagement, conversion, and retention.
• Collaborate with marketing, product, and operations teams to provide data-driven recommendations for improvement.
• Perform A/B testing analysis and provide insights to optimize website features, marketing campaigns, and user experience.
• Build predictive models to forecast sales, customer behavior, and other key metrics.
• Present findings and recommendations clearly and concisely to stakeholders at various levels of the organization.
• Stay updated with the latest data analysis tools, techniques, and industry trends.
• Ensure data integrity and accuracy across all reporting and analysis.

Requirements

• Master's degree or Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• Minimum of 5 years of experience as a Data Analyst, preferably in an e-commerce or digital marketing environment.
• Strong proficiency in SQL for data extraction and manipulation.
• Experience with data visualization tools such as Tableau, Power BI, or Looker.
• Proficiency in statistical analysis and programming languages like Python or R.
• Solid understanding of web analytics tools (e.g., Google Analytics, Adobe Analytics).
• Experience with A/B testing design and analysis.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex data to non-technical audiences.
• Experience with data warehousing concepts is a plus.
• Ability to work independently and collaboratively in a hybrid work environment.

Benefits

• Our client offers a competitive salary and benefits package.
• Employees are provided with comprehensive medical aid and retirement fund contributions.
• The hybrid work arrangement supports a flexible work schedule.
• Opportunities for professional development, including training courses and conference attendance, are available.