Apprentice Data Analyst
- milton keynes, buckinghamshire, MK9 2AA, United Kingdom
- Hybrid
- £21,000 - £21,000 Per Annum
Job Description
About the Role
Our client is looking for bright, analytical individuals to join their team as Apprentice Data Analysts in Milton Keynes . This apprenticeship is an exceptional chance to develop your skills in data interpretation, visualization, and reporting, contributing to data-driven decision-making across the organisation. You will work in a supportive hybrid environment, blending remote learning with occasional in-office collaboration, gaining practical experience with real-world datasets. This role is ideal for those with a strong aptitude for numbers and a desire to uncover insights that drive business growth and efficiency.
Key Responsibilities
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform data analysis using statistical methods and software tools under supervision.
- Create clear and informative data visualizations and reports for stakeholders.
- Identify trends, patterns, and anomalies within datasets.
- Support the data science team in ad-hoc data requests and projects.
- Participate in training sessions to enhance data analysis techniques and tool proficiency.
Requirements
- A keen interest in data analysis and a strong quantitative aptitude.
- Proficiency in spreadsheet software (e.g., Microsoft Excel) is essential.
- Basic understanding of statistical concepts is a plus.
- Excellent attention to detail and accuracy in data handling.
- Good communication skills, both written and verbal, for reporting findings.
- Willingness to learn and adapt to new data analysis tools and methodologies.
Benefits
- Competitive apprentice salary with opportunities for increase.
- Structured training program leading to a professional data analysis qualification.
- Mentorship from experienced data professionals.
- Hybrid working model offering flexibility between remote and office-based work.
- Exposure to diverse datasets and business challenges.


