E-commerce Data Analyst

Placements24; Gqeberha; Hybrid; ZAR 420,000 - 640,000; Full time

Benefits offered by this job

Home office stipend

Bonuses potential

Flexible hours

Online courses

Remote team culture

Retirement plan

Wellness benefits

Job summary

Placements24 is seeking an experienced E-commerce Data Analyst to join our remote team serving Port Elizabeth operations. You will collect and analyze large datasets on ecommerce performance, customer behavior, and market trends to inform marketing, sales and product decisions.

You'll build dashboards in Tableau/Power BI, run A/B tests, forecast sales, and present insights to non-technical stakeholders. The role requires 3-5 years in data analysis, strong SQL/Python/R skills, and experience with

Qualifications

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• Minimum of 3-5 years of experience in data analysis, preferably within an e-commerce or digital marketing environment.
• Proficiency in data analysis tools and languages such as SQL, Python (Pandas, NumPy), or R.
• Experience with web analytics platforms (e.g., Google Analytics, Adobe Analytics).
• Strong data visualization skills using Tableau, Power BI, or Looker.
• Excellent understanding of statistical concepts and methodologies.
• Ability to translate business questions into analytical frameworks and provide data-driven solutions.
• Strong problem-solving skills and attention to detail.
• Effective communication and presentation skills for conveying analytical insights.
• Experience working in a remote team environment is advantageous.

Responsibilities

• Collect, clean, and process data from various sources, including web analytics, sales platforms, CRM, and social media.
• Perform in-depth analysis of e-commerce website performance, user behavior, sales trends, and marketing campaign effectiveness.
• Develop and maintain dashboards and reports to track KPIs such as conversion rates, customer lifetime value, AOV, and traffic sources.
• Identify patterns, trends, and insights from data to provide actionable recommendations for business improvement.
• Conduct A/B testing analysis to evaluate the impact of website changes and marketing initiatives.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Present complex data findings in a clear, concise, and visually compelling manner to both technical and non-technical stakeholders.
• Stay current with industry best practices in data analytics, e-commerce, and data visualization techniques.
• Develop predictive models to forecast sales and customer behavior where applicable.

Skills

SQL

Python

R

Tableau

Power BI

Looker

Google Analytics

Adobe Analytics

A/B testing

Data visualization

Education

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

Tools

Tableau

Power BI

Looker

Job description

About the Role

Our client is actively seeking a talented and detail-oriented E-commerce Data Analyst to join their growing team, remotely serving their operations in Port Elizabeth, Eastern Cape . This critical role will be responsible for collecting, analyzing, and interpreting large datasets related to e-commerce performance, customer behavior, and market trends. The insights derived from your work will directly inform strategic decision-making across marketing, sales, product development, and operational functions. The ideal candidate possesses strong quantitative skills, expertise in data visualization tools, and a deep understanding of e-commerce metrics. You will play a key role in uncovering opportunities for growth, optimizing conversion rates, and enhancing the overall customer experience. This remote position offers a unique opportunity to leverage data to drive success in a competitive online marketplace.

Key Responsibilities

• Collect, clean, and process data from various sources, including web analytics, sales platforms, CRM, and social media.
• Perform in-depth analysis of e-commerce website performance, user behavior, sales trends, and marketing campaign effectiveness.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) such as conversion rates, customer lifetime value, AOV, and traffic sources.
• Identify patterns, trends, and insights from data to provide actionable recommendations for business improvement.
• Conduct A/B testing analysis to evaluate the impact of website changes and marketing initiatives.
• Collaborate with cross-functional teams (marketing, sales, product, IT) to understand their data needs and provide analytical support.
• Present complex data findings in a clear, concise, and visually compelling manner to both technical and non-technical stakeholders.
• Stay current with industry best practices in data analytics, e-commerce, and data visualization techniques.
• Develop predictive models to forecast sales and customer behavior where applicable.

Requirements

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• Minimum of 3-5 years of experience in data analysis, preferably within an e-commerce or digital marketing environment.
• Proficiency in data analysis tools and languages such as SQL, Python (Pandas, NumPy), or R.
• Experience with web analytics platforms (e.g., Google Analytics, Adobe Analytics).
• Strong data visualization skills using tools like Tableau, Power BI, or Looker.
• Excellent understanding of statistical concepts and methodologies.
• Ability to translate business questions into analytical frameworks and provide data-driven solutions.
• Strong problem-solving skills and attention to detail.
• Effective communication and presentation skills for conveying analytical insights.
• Experience working in a remote team environment is advantageous.

Benefits

• Competitive remote salary with potential for bonuses.
• Comprehensive health and wellness benefits package.
• Flexible work hours and a focus on work-life balance.
• Opportunities for continuous learning and professional development, including access to online courses and certifications.
• A supportive and collaborative remote team culture.
• Home office stipend.
• Contribution to a retirement savings plan.
• Exposure to cutting-edge data analytics tools and techniques.