Data Analyst Apprentice Ops (Fixed Term Contract)

Description

Are you a curious problem-solver with a passion for uncovering insights hidden in data? Join our team of data experts and embark on a journey to transform raw data into compelling narratives that drive business growth.

As a Data Analyst Apprentice, you'll be part of a dynamic team that leverages cutting-edge technologies to unravel complex data sets and uncover valuable insights. Your role will involve collecting, organising, and analysing data from various sources, using advanced analytical tools and techniques. You'll collaborate with cross-functional teams to understand their requirements and deliver data-driven solutions that address real-world business challenges.

A Day In The Life Can Involve

• Diving into diverse data sets, cleansing and transforming them into structured formats for analysis.
• Leveraging powerful data visualisation tools to bring information to life, creating compelling visualisations that tell a story.
• Collaborating with stakeholders across the organisation, understanding their needs and translating them into actionable insights.
• Staying up-to-date with the latest trends and developments and participating in team meetings, brainstorming sessions, and knowledge-sharing activities to foster a culture of continuous learning.
  
  

Data Analyst Apprentices are passionate individuals who thrive on turning complex information into meaningful insights. A key requirement for this role is exceptional attention to detail when managing and analysing large datasets to ensure data accuracy and quality. Critical thinking and problem-solving are also essential, as you’ll be tasked with diving into diverse information sets, cleansing and transforming them, and then leveraging data tools to uncover valuable insights. The ability to communicate effectively, quickly adapt to changing priorities and collaborate with stakeholders across the organisation to understand their needs and translate them into actionable solutions is also crucial to enable you to deliver data-driven solutions and be successful in your role.

Here at Amazon, it's in our nature to learn and be curious. Within this apprenticeship, you’ll have the opportunity to learn by doing, putting newfound knowledge into practice every day. Our first-class coaching, tailored development opportunities, and rewarding work will empower you to reach new heights. If you’re a curious learner eager to grow, this is your chance to unlock your full potential and build the future you envision.

You will gain a vast range of useful experiences and skills whilst working towards the BSc (Hons) Digital and Technology Solutions (Data Analysis Pathway) Degree. As a working student your focus is to complete your studies in your 20% off the job time by learning and developing your skills, knowledge and behaviours to work towards successful graduation. You will be set goals by your training provider and manager to support your studies.

Please note: As part of your off-the-job learning, you may be required to travel to a training centre. This location may differ from your primary work base. Candidates should be prepared for occasional travel as part of the apprenticeship programme.

You will build your skills over a 42-month period, starting in September. These skills will help you develop personally and professionally. Your apprenticeship will be made up of classroom/virtual based training to cover knowledge, on-the-job training at your Amazon base location, online learning as well as mentoring from our experienced team members.

We value different perspectives and experiences, and we're dedicated to creating an inclusive environment where everyone can thrive. Our employee-led affinity groups including communities for women in tech, LGBTQ+ employees, and underrepresented minorities, foster a culture on inclusion that empowers us to be proud of our differences. These groups provide community, mentorship, and a platform for your voice to be heard. We’re committed to building a workforce that reflects the customers and communities we serve.

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.

If you're ready to embark on an exciting journey of data exploration and storytelling, apply now and join our team of Data Storytellers!

Basic Qualifications

For the apprenticeship programme we prioritise applicants eligible to government funding for their apprenticeship and for this you need to:

• Be 18 years or over before the start date
• Have the right to live and work in England (if you are on a visa, this needs to enable you to legally work and reside in England for the entire duration of the program).
• Have lived in the UK or in the European Economic Area (EEA) for the last 3 years
• Be a resident of the UK for the entire duration of the program
• Not be registered to study on a UK government funded course ending August 2025 or later
• Have at least 5 GCSEs C grade (grade 4) or above including Maths and English plus any of the following: 2 A Level passes in 1 or more similar subject, OR Level 3 apprenticeship in a similar subject, OR International Baccalaureate at Level 3 in a similar subject, OR BTEC Extended Diploma in a similar subject.
  
  

PLEASE NOTE: This position is a 42month fixed-term contract.

You must NOT already have a qualification in a similar subject at the same or higher level than this apprenticeship

Please note, you will be required to evidence your qualifications. If you have gained qualifications outside of the UK you will be required to evidence that they are equivalent.

Note: This Apprenticeship assumes the candidate has some or little knowledge/experience of the occupation, and is NOT suitable for candidates who already have a similar or higher-level qualification in the same or similar subject of the apprenticeship. If you already have related qualifications or 2 years plus experience in this field please visit amazon.jobs

Preferred Qualifications

Ideal applicants will already possess a solid foundation of knowledge within the IT field. They will have a passion for data analysis, as well as be able to demonstrate proficiency with Microsoft Office products including Outlook, Excel and Word.

Application Process

The recruitment process will start with your online application – simply submit your CV and complete a few quick eligibility questions. Next, you’ll showcase your natural aptitude through an innovative game-based assessment. To get to know you beyond your CV, the next stage of the process will be a video interview. Here you’ll be able to tell us more about you, your motivations and any transferrable skills you have. The final step is our assessment centre, where you’ll meet the team, and demonstrate your passion in person. As part of the assessment centre, you may be expected to take part in a group exercise, a presentation, 1 to 1 interviews and other tasks relating to your chosen programme. After you’ve attended the assessment centre, the recruitment team will be in contact to confirm the outcome of your application.

We advise you to submit your application as soon as possible, as the roles will close once filled.

We will be holding online assessments from November through to February, with assessment centers taking place between February and May.

We will keep you informed throughout the application process to update you on the status of your application.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/content/en/how-we-hire/accommodations.


Company - Amazon UK Services Ltd.

Job ID: A2816952