Remote E-commerce Sales Analyst

Placements24; Lenasia; Hybrid; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Performance bonuses

Fully remote work

Health insurance

Paid time off

Professional development

Job summary

Placements24 is seeking a data-driven Remote E-commerce Sales Analyst to provide crucial insights into online sales performance and customer behavior. This fully remote role focuses on collecting and interpreting sales data, developing reports, and translating findings into actionable recommendations to drive revenue from anywhere.

You will analyze KPIs, identify trends, benchmark performance, and collaborate with ecommerce, marketing, and product teams to optimize strategies for growth.

Qualifications

• Proven experience as a Sales Analyst, Business Analyst, or Data Analyst in e-commerce.
• Strong data analysis skills and ability to interpret complex datasets.
• Proficiency with SQL, Excel; experience with Python or R is a plus.
• Experience with e-commerce analytics platforms (GA/Adobe Analytics) preferred.

Responsibilities

• Collect, analyze, and interpret sales data from e-commerce channels.
• Develop dashboards and reports to track KPIs like conversion rate and AOV.
• Identify trends and opportunities to inform strategic decisions.
• Conduct market and competitor analysis to benchmark performance.
• Provide actionable recommendations to improve website performance and customer segmentation.
• Collaborate with ecommerce, marketing, and product teams to implement data-driven strategies.

Skills

SQL

Excel

Python

R

Google Analytics

Data analysis

Sales analytics

Education

Bachelor's degree (quantitative)

Tools

Adobe Analytics

Google Analytics

Job description

About the Role

Our client is seeking a data-driven and analytical Remote E-commerce Sales Analyst to provide crucial insights into online sales performance and customer behavior. This fully remote position allows you to leverage your analytical skills to optimize sales strategies and drive business growth from anywhere. You will be responsible for collecting, interpreting, and reporting on sales data, identifying trends, and providing actionable recommendations to enhance the online customer experience and maximize revenue. The ideal candidate is highly proficient in data analysis, possesses a strong understanding of e-commerce metrics, and excels at translating complex data into clear, concise business insights.

Key Responsibilities

• Collect, analyze, and interpret sales data from various e-commerce channels and platforms.
• Develop detailed reports and dashboards to track key performance indicators (KPIs) such as conversion rates, average order value, and customer lifetime value.
• Identify trends, patterns, and opportunities within sales data to inform strategic decision-making.
• Conduct market research and competitor analysis to benchmark performance and identify strategic advantages.
• Provide actionable recommendations to improve website performance, marketing campaigns, and customer segmentation.
• Collaborate with e-commerce, marketing, and product teams to implement data-driven strategies.

Requirements

• Proven experience as a Sales Analyst, Business Analyst, or Data Analyst, preferably in an e-commerce environment.
• Strong proficiency in data analysis tools and methodologies (e.g., SQL, Excel, Python, R).
• Experience with e-commerce analytics platforms (e.g., Google Analytics, Adobe Analytics).
• Excellent quantitative and qualitative analytical skills, with the ability to interpret complex data sets.
• Strong communication and presentation skills, with the ability to convey technical information to non-technical stakeholders in a remote setting.
• Bachelor's degree in a quantitative field such as Statistics, Economics, Mathematics, or Computer Science.

Benefits

• Competitive salary and performance-based bonuses.
• Fully remote work arrangement with flexible hours.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and opportunities for professional development.
• A data-centric work environment with opportunities to influence business strategy.