Remote E-commerce Data Analyst

About the Role

Our client is seeking a meticulous and insightful Remote E-commerce Data Analyst to uncover actionable insights that will drive business decisions and strategy. In this role, you will dive deep into large datasets related to customer behavior, sales performance, marketing campaigns, and website analytics to identify trends, opportunities, and potential risks. You will translate complex data into clear, concise reports and visualizations for stakeholders across the organization. This is an excellent opportunity for a data-driven professional to make a significant impact on a growing e-commerce business, working entirely remotely and contributing to strategic planning from any location.

Key Responsibilities

• Collect, clean, and analyze large datasets from various sources including website analytics, sales platforms, and marketing tools.

• Develop dashboards and reports to track key performance indicators (KPIs) for e-commerce operations, marketing, and sales.

• Identify trends, patterns, and anomalies in data to provide actionable insights and recommendations.

• Conduct deep-dive analyses into customer behavior, segmentation, and lifetime value.

• Collaborate with cross-functional teams (marketing, product, operations) to support data-informed decision-making.

• Present findings and insights clearly and effectively to both technical and non-technical audiences.

Requirements

• Proven experience as a Data Analyst, preferably within an e-commerce context.

• Strong proficiency in SQL for data extraction and manipulation.

• Experience with data visualization tools such as Tableau, Power BI, or Looker.

• Proficiency in statistical analysis and experience with tools like Excel or R/Python for data analysis.

• Excellent analytical, problem-solving, and critical thinking skills.

• Strong communication skills and the ability to articulate complex data insights.

Benefits

• Competitive salary and benefits package.

• Fully remote work environment with flexible hours.

• Opportunities for professional development and certifications in data analytics.

• Be part of a data-centric company culture focused on continuous improvement.

• Contribute to key strategic decisions within the fast-paced e-commerce industry.