E-commerce Data Analyst

Placements24; Durban; On-site; ZAR 420,000 - 540,000; Full time

Benefits offered by this job

Health insurance

Retirement savings plan

Generous paid time off

Job summary

Placements24 in Durban, South Africa is seeking an analytical E-commerce Data Analyst to turn large datasets into actionable insights. You will work with marketing, sales and product teams to optimize online funnels using SQL, Python and visual dashboards.

You will develop dashboards, monitor KPIs (conversion, CAC, LTV), perform AB testing analyses, ensure data accuracy, and present findings clearly to technical and non-technical audiences in a fast-growing online retail environment.

Qualifications

• Bachelor's degree in a quantitative field.
• Minimum 3 years as a Data Analyst in e-commerce/retail preferred.
• Proficiency in SQL and data visualization tools.
• Strong analytics, problem-solving and communication skills.
• Familiarity with Python or R is a plus.

Responsibilities

• Collect, clean, and organize large datasets from e-commerce platforms and analytics tools.
• Analyze customer behavior, sales trends, website performance and campaign effectiveness.
• Develop and maintain dashboards and reports tracking KPIs like sales, conversion, CAC and LTV.
• Identify UX improvement opportunities from data insights and experiments.
• Present findings clearly to marketing, sales and product teams.

Skills

SQL

Python

Data analysis

A/B testing

Data visualization

Education

Bachelor's degree in Data Science, Statistics, Economics, CS, Mathematics

Tools

Tableau

Power BI

Google Analytics

Python

Job description

About the Role

Our client is actively seeking a highly analytical and results-driven E-commerce Data Analyst to join their team in **Durban, KwaZulu-Natal**. This on-site position is crucial for understanding customer behavior, optimizing online sales funnels, and driving data-informed strategic decisions. The successful candidate will be responsible for collecting, interpreting, and reporting on vast amounts of e-commerce data to uncover actionable insights. If you have a passion for numbers, a knack for identifying trends, and a desire to impact business growth in a dynamic retail environment, this role is for you. You will work closely with marketing, sales, and product development teams to translate complex data into clear, understandable recommendations. This is a fantastic opportunity to contribute to the success of a leading online retailer in the region and to grow your career in a challenging and rewarding setting.

Key Responsibilities

• Collect, clean, and organize large datasets from various e-commerce platforms and analytics tools.
• Analyze customer behavior, sales trends, website performance, and marketing campaign effectiveness.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) related to sales, conversion rates, customer acquisition cost, and customer lifetime value.
• Identify opportunities for website and user experience improvements based on data analysis.
• Provide actionable insights and recommendations to the marketing, sales, and product teams to optimize strategies and drive revenue growth.
• Perform A/B testing analysis to evaluate the effectiveness of website changes and marketing initiatives.
• Collaborate with stakeholders to define data requirements and reporting needs.
• Monitor industry benchmarks and competitor performance through data analysis.
• Ensure data accuracy and integrity across all reporting and analysis.
• Present findings and recommendations clearly and concisely to both technical and non-technical audiences.

Requirements

• Bachelor's degree in Data Science, Statistics, Economics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 3 years of experience as a Data Analyst, preferably within the e-commerce or retail industry.
• Proficiency in SQL for data extraction and manipulation.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Strong understanding of web analytics tools (e.g., Google Analytics, Adobe Analytics).
• Knowledge of statistical analysis and modeling techniques.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Strong communication and presentation skills, with the ability to explain complex data to diverse audiences.
• Familiarity with programming languages like Python or R is a plus.
• Ability to work collaboratively in a team environment and manage multiple projects.

Benefits

• Our client offers a competitive annual salary, comprehensive health insurance, retirement savings plans, and generous paid time off. Employees benefit from a stimulating work environment, opportunities for professional development and training, and the chance to work on impactful projects within a growing company. Access to advanced analytical tools and collaboration with experienced professionals in the e-commerce space are also key advantages of this role.