DATA ANALYST

Introduction:

We are looking for an experienced Data Analyst to join the Returns Customer Experience team to help unlock insights which take our team to the next level. The ideal candidate will be excited about understanding and implementing new and repeatable processes, while providing data to improve the Returns transportation business. The successful candidate will have strong data mining and modeling skills and is comfortable facilitating ideas and working from concept through to execution. They will partner with various key stakeholders to deep dive into the business challenges and data to identify insights, providing recommendations for process improvement on a globally scalable level. This role requires an individual with excellent analytical abilities as well as strong business acumen.

Responsibilities:

• Collecting and interpreting data from various sources
• Using SQL to query databases and extract necessary information
• Utilizing Excel for data analysis and reporting
• Employing R for statistical analysis and predictive modeling
• Creating data visualizations to communicate findings effectively
• Identifying trends, patterns, and anomalies in data
• Collaborating with cross-functional teams to understand business needs
• Generating actionable insights and recommendations based on data analysis
• Developing and maintaining dashboards and reports for stakeholders
• Continuously improving data collection processes and data quality

Requirements:

Required Skills:

• Proficiency in SQL for data querying and manipulation
• Advanced knowledge of Excel for data analysis and reporting
• Experience with R for statistical analysis and predictive modeling
• Ability to create data visualizations using visualization tools
• Strong analytical and problem-solving skills
• Excellent communication and collaboration abilities
• Attention to detail and accuracy in data analysis

Preferred Skills:

• Experience with other programming languages such as Python
• Familiarity with machine learning algorithms
• Knowledge of data warehousing and data modeling concepts
• Previous experience in the transportation or logistics industry