Would you like to answer questions, solve problems, and support decision-making processes?
As a Data Analyst, your role is to ascertain how data can be used in order to answer questions and solve problems. You will be responsible for requirement-gathering, inspecting, cleansing, transforming and modelling data with the goal of discovering useful information, informing conclusions and supporting decision-making. You will need to have strong communication skills as you will be liaising and sharing your work with different stakeholders. You will also need a good eye for details as you will be working with a lot of data and information that requires accuracy when handling the workload.
Location | London, Cambridge, Manchester and Bolton |
Programme Duration | 36 months + 6 month EPA |
Qualification & Level | BSc (Hons) Digital & Technology Solutions (Data Analyst pathway) |
Working Hours | 40 Hours a week |
Office Type | You may be based in a corporate office or an operations warehouse |
Training Breakdown | Blended and Work-based Learning. Including, Face to Face workshops, digital learning and self-study. |
Required Skills & Qualifications | At least 5 GCSEs C grade (grade 4) or above including Maths and English plus any of the following:
You must NOT already have a qualification in a similar subject at the same or higher level than this apprenticeship Note: “Similar subject” relates to areas directly relevant to STEM (Science, Technology, Engineering, Mathematics) subjects. |
What are the core components of this apprenticeship?
During your apprenticeship, you will acquire valuable skills and knowledge, including:
Data Analytics: Mastering the art of collecting, processing, and analysing data to derive meaningful insights, adding immense value to any organization.
Data Technologies: Gaining proficiency in cutting-edge big data tools and technologies, allowing you to work with vast datasets efficiently.
Data Security and Privacy: Understanding the critical aspects of data protection, ensuring the integrity and confidentiality of sensitive information.
Data Visualization: Learning to communicate complex data findings through engaging and informative visualizations, making data accessible to a broader audience.
Project Management: Acquiring the skills to manage data projects effectively, ensuring they're delivered on time and within scope.
What will I learn as I progress through my course?
- Analysing and interpreting data to provide actionable insights for your organization.
- Designing data models and managing databases to ensure efficient data storage and retrieval.
- Ensuring data security and compliance with legal and ethical standards, protecting sensitive information.
- Collaborating with professionals from various departments to understand their data needs and provide relevant solutions.
- Staying up-to-date with the latest advancements in data and technology to remain at the forefront of your field.
- Creating reports and data presentations to communicate findings and recommendations to key stakeholders.
- Implement the stages of the data analysis lifecycle
- Apply principles of data classification within data analysis activity
- Analyse data sets taking account of different data structures and database designs
- Assess the impact on user experience and domain context on data analysis activity
- Identify data sources and the risks and challenges to combination within data analysis activity
- Select and apply the most appropriate data tools to achieve the optimum outcome
What qualifications will I gain?
- Integrated degree BSc (Hons) Digital & Technology Solutions (Data Analyst pathway)
This apprenticeship aligns with British Computer Society for Registered IT Technician (RITTech)
What are my career prospects after graduating?
Upon successful completion of the Data Analyst Degree program an Apprentice will be able to apply for a promotion within a Data Analyst full time role or seek other opportunities globally across Amazon and AWS. You'll have the skills and knowledge to explore or progress towards various high-level roles in the data/technology sector, including:
Data Scientist; Data Analyst; Data Engineer; Machine Learning Engineer; Data Security Specialist; Project Manager; Business analyst; Cyber security professional; Software engineer
"The hands-on experience I am gaining is continuously providing me with new skills I can now bring to work."
Application Process and Timeline
(Applications for opportunities in our corporate side of the business open 11th December 2023)
(Applications for opportunities in the logistics side of the business, will open later in 2024)
(The start date for this programme will vary throughout 2024, please refer to the job advert for specifics)