Role Overview
Join the Digital Data Science & Analytics team to analyze customer behavior and digital experiences, uncover actionable insights, and inform strategic decisions.
What You Will Do
Analyze digital customer behavior, perform exploratory and statistical analysis, and develop analytical solutions to deliver actionable business insights.
Why It Might Be a Fit
The ideal candidate will have 1-5 years of experience in data science, business intelligence, analytics, or a related field, and proficiency in SQL and Python.
Requirements
- 1 to 5 years of experience in data science, business intelligence, analytics, statistical analysis, or a related field
- Bachelor’s degree in Data Science, Business Analytics, Statistics, Applied Mathematics, Economics, or a related quantitative discipline
- Proficiency with SQL for data extraction and analysis
- Proficiency with Python for data preparation, exploratory analysis, statistical analysis, and modeling
- Experience applying analytical and statistical methods such as EDA, hypothesis testing, regression, forecasting, segmentation, clustering, experimentation, NLP, or sentiment analysis
- Experience translating analytical findings into actionable insights, recommendations, or measurable business outcomes
- Comfortable working in notebook-based analytical environments
- Strong curiosity and ability to learn new analytical methods and technologies quickly
- Excellent communication and data storytelling skills
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