Senior Data Analyst, Ecommerce & Product Analytics

Role Overview

The Senior Data Analyst will leverage data, statistics, and visualization to generate actionable insights that drive value across multiple business functions. The role will utilize market-leading tools, data automation, and analytical methodologies to support reporting and performance measurement.

What You Will Do

Core responsibilities include utilizing market-leading tools, data automation, and analytical methodologies to support reporting and performance measurement, collaborating with cross-functional teams to analyze trends, and providing clear recommendations for business growth.

Why It Might Be a Fit

The ideal candidate should be comfortable working with large datasets, building scalable reports, and simplifying complex data to enable efficient decision-making. The role requires an analytical thinker with hands-on experience in data extraction, transformation, and visualization.

Requirements

• 4-year degree or equivalent experience
• 3+ years of experience as a Data Analyst in industry with strong performance in a quantitative field or equivalent experience
• Advanced SQL experience writing complex queries and accomplished in Python or R
• Demonstrated experience in analytics tools such as: SQL, Hadoop, Hive, Spark, Power BI, Adobe Analytics (or Google Analytics) and/or equivalent technologies
• Knowledge of A/B Testing methods and time series forecasting models including statistical analysis
• Builds detailed reports and dashboards using various tools, designs and implements data visualizations to communicate complex data clearly
• Experience leveraging advanced analytics and AI-driven approaches (e.g., predictive modeling, machine learning, or AI-enabled tools) to enhance decision-making
• Works closely with cross functional teams to understand data needs, value opportunities and delivers solutions in partnership with digital technology and data engineering teams to ensure data integrity and accuracy
• Ensures the accuracy, consistency, and security of data across all reports and analysis
• Solid problem solving, analytical skills, data curiosity, data mining, Data creation and consolidation
• Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them
• Cultivates and maintains positive partners relationships to understand their data needs, provides insights and finds improvement opportunities, and ensures reporting solutions address key objectives

Benefits

• 401(k)
• Employee discount
• Short term disability
• Long term disability
• Paid sick leave
• Paid national holidays
• Paid vacation
• Comprehensive health benefits and programs
• Medical
• Vision
• Dental
• Life insurance

Tagged as: Data Analysis