Remote E-commerce Analyst

Darum lohnt es sich

Key Responsibilities • Analyze e-commerce sales data, website traffic, conversion rates, and customer behavior to identify trends and opportunities. • Develop and maintain dashboards and reports to track key performance indicators (KPIs) for the e-commerce business. • Conduct in-depth analysis of marketing campaigns, promotions, and product performance to measure effectiveness and ROI. • Provide actionable insights and recommendations to optimize the customer journey, improve conversion rates, and increase average order value (AOV). • Collaborate with marketing, product, and operations teams to support data-driven decision-making. • Monitor industry trends and competitor performance to provide market intelligence.

Benefits • Competitive salary and comprehensive benefits package. • Fully remote work arrangement offering work-life balance and flexibility. • Opportunities for professional development and advanced training in data analytics. • Access to powerful analytical tools and data resources. • A collaborative team environment that values data-driven insights.

About the Role Our client is looking for a detail-oriented and analytical Remote E-commerce Analyst to provide critical insights into sales performance, customer behavior, and market trends. This role is fundamental in guiding data-informed decisions to optimize the online shopping experience and drive revenue growth.

As a fully remote position, you will leverage your analytical skills to interpret complex datasets and communicate findings effectively to stakeholders across the organization.

The ideal candidate possesses strong quantitative skills, proficiency in data analysis tools, and a deep understanding of e-commerce metrics, eager to contribute to strategic planning and operational improvements from a remote setting.

Requirements • Bachelor's degree in Statistics, Economics, Mathematics, Business Analytics, or a related quantitative field. • 3+ years of experience in data analysis, preferably within the e-commerce or digital marketing space. • Proficiency in data analysis tools such as SQL, Excel, and statistical software (e.g., R, Python). • Experience with web analytics platforms (e.g., Google Analytics, Adobe Analytics). • Strong understanding of e-commerce metrics and KPIs. • Excellent analytical, problem-solving, and communication skills.