Data Analyst, Digital & E-commerce

What you'll do

• Extract, transform, and visualize large datasets to generate actionable insights for business growth.
• Build scalable reports and interactive dashboards using tools like SQL, Excel, Python, or R.
• Develop data models to identify, analyze, and interpret trends within complex datasets.
• Support business decisions by creating clear narratives using descriptive statistics and data visualizations.
• Utilize advanced analytics, predictive modeling, and AI-driven approaches to enhance decision-making.
• Collaborate with cross-functional teams to define measurement needs and ensure data integrity.
• Manage A/B testing, time series analysis, and forecasting models to optimize digital strategies.
• Maintain partner relationships by providing insights and identifying opportunities for reporting improvements.

What we're looking for

• A four-year degree or equivalent experience is required.
• Candidates must have 1+ year of experience as a Data Analyst with strong academic performance in a quantitative field.
• Intermediate SQL skills for writing complex queries are required.
• Experience with analytics tools such as Excel, Hadoop, Hive, Spark, Python, R, Domo, or Adobe Analytics is preferred.
• Proficiency in data extraction, transformation, and visualization of large datasets is required.
• Knowledge of A/B testing, time series, S&OP planning, and forecasting models including statistical analysis is required.
• Experience with advanced analytics and AI-driven approaches like predictive modeling or machine learning is required.
• Strong communication skills are needed to translate complex data into clear stories for both business and technical teams.