E-Commerce Data Analyst

Responsibilities

• Develop and maintain advanced analytics models, dashboards, and reporting solutions using SQL, R, and other analytical tools.
• Apply forecasting, predictive modeling, clustering, and machine learning techniques to generate actionable business insights.
• Analyze marketing, customer, and sales data to identify trends, anomalies, opportunities, and areas for optimization.
• Conduct ad hoc analyses to answer business questions and support strategic initiatives.
• Segment customers and prospects to identify high-value audiences, growth opportunities, and targeted marketing strategies.
• Evaluate customer behavior, purchasing patterns, and campaign performance to improve marketing effectiveness.
• Create and maintain data visualizations that effectively communicate findings to technical and non-technical audiences.
• Perform data extraction, cleansing, validation, and preparation using SQL and other data management tools.
• Identify process improvement opportunities and develop standardized reporting and analytical practices.
• Manage multiple projects simultaneously while meeting deadlines in a fast-paced environment.
• Collaborate effectively with cross-functional teams, including Marketing, Sales, IT, and Leadership.
• Communicate analytical findings and recommendations clearly through written reports, presentations, and discussions.
• Demonstrate strong analytical thinking, organizational skills, and project management capabilities.
• Exhibit intellectual curiosity, continuous learning, and a proactive approach to problem-solving.
• Work independently while contributing effectively within team environments.
• Maintain a working knowledge of marketing best practices, tactics, and strategies, with the ability to measure and evaluate program performance.
• Experience working with web analytics platforms and digital marketing performance data.
• Effectively prioritize workload and manage time across competing business priorities.

Qualifications

• Bachelor's degree in a STEM discipline, Business Analytics, Statistics, Data Science, Marketing Analytics, or a related field; equivalent work experience may be considered.
• 2–5 years of experience in marketing analytics, business analytics, data science, or a related analytical role.
• Microsoft Certified Power BI Data Analyst Associate certification or equivalent experience preferred.
• Advanced proficiency in SQL and Microsoft Excel.
• Experience with statistical programming languages such as R or Python.
• Experience developing dashboards and visualizations using business intelligence tools such as Tableau, Power BI, or Looker.
• Demonstrated ability to translate complex data into actionable business recommendations.