Digital E-commerce Analyst

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 420,000 - 540,000; Full time

Benefits offered by this job

Hybrid work model

Professional development

Medical benefits

Retirement benefits

Generous leave

Job summary

Placements24 in Richards Bay, KwaZulu-Natal, is seeking a Digital E-commerce Analyst to join a data-centric team. You will collect, analyze, and interpret data from website, CRM, and marketing channels to drive actionable insights for improving the customer experience and boosting online sales.

The role requires a strong quantitative background, experience with web analytics tools, SQL, Python or R, and skills in data visualization.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Minimum of 3 years of data analysis experience, preferably within an e-commerce or digital marketing context.
• Proficiency in web analytics tools such as Google Analytics, Adobe Analytics, or similar.
• Strong experience with data manipulation and analysis using Excel, SQL, Python, or R.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.

Responsibilities

• Collect, clean, and analyze data from various sources, including website analytics, CRM, social media, and marketing campaigns.
• Develop and maintain dashboards and reports to track key e-commerce KPIs, such as traffic, conversion rates, CLV, and ROAS.
• Identify trends, patterns, and anomalies in data to provide actionable insights and recommendations for business improvement.
• Conduct in-depth analysis of customer journeys, user behavior, and segment performance to optimize the online shopping experience.
• Perform A/B testing analysis and provide recommendations for website and campaign optimization.
• Collaborate with cross-functional teams (marketing, product, IT) to understand their data needs and deliver relevant analytical support.
• Monitor competitor activities and market trends, providing insights to inform strategic planning.
• Ensure data accuracy and integrity across all reporting and analysis.
• Present findings and recommendations clearly and concisely to stakeholders at various levels.
• Contribute to the development and implementation of data-driven strategies to enhance e-commerce performance.

Skills

Analytical thinking

Problem solving

Communication

Independent work

Team collaboration

Education

Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field

Tools

Google Analytics

Adobe Analytics

Excel

SQL

Python

R

Tableau

Power BI

Job description

About the Role

Our client, a prominent e-commerce entity in Richards Bay, KwaZulu-Natal, is seeking a meticulous and insightful Digital E-commerce Analyst to join their data-centric team. This role is critical for understanding online customer behavior, optimizing website performance, and driving strategic decisions through data. You will be responsible for collecting, analyzing, and interpreting vast amounts of data from various digital channels to provide actionable insights that enhance the customer experience and boost sales. This position offers a compelling opportunity to work with complex datasets, utilize advanced analytical tools, and contribute directly to the commercial success of the business. The ideal candidate possesses a strong quantitative background, exceptional problem-solving skills, and a deep understanding of e-commerce metrics and digital marketing. You will collaborate closely with marketing, sales, and product development teams to translate data into tangible improvements. Our client values a proactive approach to identifying trends and opportunities within the digital space, ensuring they remain competitive and customer-focused. This role provides an excellent platform for professional growth in a supportive and challenging environment.

Key Responsibilities

• Collect, clean, and analyze data from various sources, including website analytics, CRM, social media, and marketing campaigns.
• Develop and maintain dashboards and reports to track key e-commerce KPIs, such as traffic, conversion rates, customer lifetime value, and return on ad spend (ROAS).
• Identify trends, patterns, and anomalies in data to provide actionable insights and recommendations for business improvement.
• Conduct in-depth analysis of customer journeys, user behavior, and segment performance to optimize the online shopping experience.
• Perform A/B testing analysis and provide recommendations for website and campaign optimization.
• Collaborate with cross-functional teams (marketing, product, IT) to understand their data needs and deliver relevant analytical support.
• Monitor competitor activities and market trends, providing insights to inform strategic planning.
• Ensure data accuracy and integrity across all reporting and analysis.
• Present findings and recommendations clearly and concisely to stakeholders at various levels.
• Contribute to the development and implementation of data-driven strategies to enhance e-commerce performance.

Requirements

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Minimum of 3 years of experience in data analysis, preferably within an e-commerce or digital marketing context.
• Proficiency in web analytics tools such as Google Analytics, Adobe Analytics, or similar.
• Strong experience with data manipulation and analysis using tools like Excel, SQL, Python, or R.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical and critical thinking skills, with a keen attention to detail.
• Strong understanding of e-commerce metrics and digital marketing concepts.
• Ability to translate complex data into understandable insights and actionable recommendations.
• Effective communication and presentation skills.
• Ability to work independently and manage multiple projects simultaneously.

Benefits

• Competitive salary and potential for performance-based incentives.
• Comprehensive medical and retirement benefits.
• Opportunities for professional development and training in data analytics.
• A collaborative work environment where data insights are highly valued.
• Access to modern analytical tools and technologies.
• Generous annual leave entitlement.
• Hybrid work model offering flexibility.