Data Analyst Apprentice

About the Role

Our client is seeking an inquisitive and detail-oriented Data Analyst Apprentice to join their analytical team in Leeds, West Yorkshire, UK . This hybrid role is perfect for individuals looking to build a career in data science and analytics, offering hands-on experience with real-world data sets. You will work under the guidance of experienced data analysts, learning to extract, clean, analyze, and interpret data to provide actionable insights. This position provides a structured learning path, combining formal training with practical application in our Leeds office and remote work flexibility, enabling you to develop essential analytical skills and contribute to data-driven decision-making processes.

Key Responsibilities

• Assist in collecting and cleaning data from various sources for analysis.
• Perform basic data analysis using statistical methods and software tools.
• Help create reports and visualizations to present data findings clearly.
• Support the team in identifying trends, patterns, and anomalies in data sets.
• Learn to use data analysis tools and programming languages such as SQL, Excel, and Python.
• Contribute to data quality checks and ensure the accuracy of analytical outputs.

Requirements

• A strong aptitude for numbers and analytical thinking.
• Excellent problem-solving skills and a keen eye for detail.
• Proficiency with Microsoft Excel or similar spreadsheet software.
• Willingness to learn SQL, Python, or other data analysis tools.
• Good communication skills, both written and verbal, for reporting findings.
• Ability to work effectively both independently and as part of a team in a hybrid setup.

Benefits

• Structured, paid apprenticeship program with comprehensive training.
• Mentorship from experienced data professionals.
• Exposure to diverse data sets and analytical challenges.
• Opportunities for further training and certification in data analytics.
• A flexible hybrid working model combining remote work with office presence in Leeds .
• Career progression opportunities within the data analytics field.