Remote Apprentice Data Analyst

About the Role

Our client is seeking an analytical and detail-oriented individual to join their team as a Remote Apprentice Data Analyst , ideally based within commuting distance of Sunderland , but working fully remotely. This apprenticeship offers a fantastic chance to enter the data science field, learning to collect, process, and interpret complex datasets to provide actionable insights. You will work closely with data scientists and business stakeholders, contributing to data-driven decision-making. This role is perfect for someone who enjoys working with numbers, spotting trends, and utilizing technology to solve business problems in a fully remote capacity.

Key Responsibilities

• Assist in gathering and cleaning data from various sources to ensure accuracy and integrity.
• Perform basic data analysis using statistical methods and software tools.
• Develop reports, dashboards, and visualizations to present findings to stakeholders.
• Learn and apply data modeling techniques and database management principles.
• Collaborate with team members to understand data needs and interpret results effectively.
• Ensure data privacy and security protocols are followed in all data handling activities.

Requirements

• A strong aptitude for numbers, logic, and analytical thinking.
• Basic understanding of statistics and mathematics.
• Familiarity with spreadsheet software (e.g., Microsoft Excel) is essential.
• Exposure to data analysis tools or programming languages (e.g., SQL, Python, R) is a plus.
• Excellent communication skills for explaining complex data findings clearly.
• Ability to work autonomously and manage tasks efficiently in a remote environment .

Benefits

• A competitive starting salary with opportunities for growth based on performance.
• Comprehensive training in data analysis tools, techniques, and methodologies.
• Support towards achieving a recognized qualification in Data Analysis or Data Science.
• Exposure to diverse datasets and challenging business problems.
• A flexible and supportive remote working culture.