At a Glance
- Tasks: Support data-driven decisions by collecting, processing, and analysing data.
- Company: Join a global aerospace leader committed to innovation and excellence.
- Benefits: Flexible working hours, generous holiday, and excellent training opportunities.
- Other info: Engage in diverse groups and forums to enhance your experience.
- Why this job: Kickstart your career in data analysis while making a real impact.
- Qualifications: Strong analytical skills and a passion for data; relevant qualifications preferred.
The predicted salary is between 18000 - 25000 £ per year.
Here, we craft excellence together. If you're ready to begin your career in project management while helping deliver innovative digital transformation initiatives within a global aerospace business, apply today.
Why Safran?
- A global presence: Be part of a global aerospace, defence & space business with over 100,000 colleagues across 300 sites in 30 countries.
- Inclusive & empowering environment: We celebrate our differences and believe they make us stronger.
- Innovation at the core: Join our mission to decarbonise aerospace and make the world a safer place.
- Mobility & training opportunities: Access training, development and long-term career opportunities.
- A culture of excellence: Join a team that values collaboration, integrity and continuous improvement.
Get involved: We also have a number of groups and forums across our sites that you can get involved with, including Women at Safran, Diversity at Safran, Sports Clubs, STEM Ambassadors, Employee Forum, Charity Partnerships and Wellbeing Programmes.
Your Role
As a Data Analyst Apprentice, you will develop essential data skills while supporting business and operational teams in making data-driven decisions. Working alongside experienced data specialists and improvement teams, you will help collect, process and analyse data to identify insights and drive process improvements across the site.
Key responsibilities include:
- Assisting with collecting, cleaning and validating datasets from operational, production and business systems.
- Supporting the creation of reports, dashboards and visualisations to communicate findings to stakeholders.
- Working with colleagues to understand data requirements for projects and day-to-day operations.
- Participating in projects that analyse process performance, efficiency and product quality.
- Documenting analytical processes and maintaining data quality and consistency.
- Learning to use industry-standard tools such as Excel, Power BI and programming tools under guidance.
- Helping maintain and improve datasets and repositories while ensuring secure and ethical data handling.
- Supporting presentations and meetings by communicating findings in a clear and engaging way.
What You'll Bring
Essential
- Strong analytical thinking skills and a passion for solving problems.
- Excellent attention to detail and a commitment to producing accurate work.
- A genuine interest in data, technology and business improvement.
Desirable
- Basic understanding of IT, data handling or statistics gained through school, college or personal projects.
- Working towards or achieved qualifications such as A-Levels, BTEC or equivalent, particularly in Maths, Computing, Science, Engineering or Business.
- Knowledge of Excel, Power BI or other data analysis tools.
- Strong written and verbal communication skills.
- Ability to work collaboratively within a team environment.
- Willingness to learn new digital tools and concepts.
At Safran, we understand that diversity and inclusion make teams stronger and more effective, and as an organisation, we are committed to fair and equitable employment practices for everyone.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst Apprentice in Burnley
✨Get Involved in Data Science Communities
Dive into online forums like Kaggle or GitHub where data science enthusiasts hang out. Participating in competitions or contributing to open-source projects can really make you stand out and show off your skills!
✨Tap Into University Resources
Your uni career services are gold mines for apprenticeships! Attend any workshops or career fairs they host; you might just bump into employers looking to scout fresh talent for programmes like the one at Safran UK.
✨Work on Real-World Data Projects
Create your own data science projects or collaborate with classmates on interesting datasets. This not only sharpens your skills but also gives you something to showcase during interviews, setting you apart from the competition.
✨Show Off Your Passion
Don’t just rely on formal applications! Write blog posts about your data science journey or share insights on social media. This can catch the eye of Safran UK and show them you’re genuinely passionate about the field.
We think you need these skills to ace Data Analyst Apprentice in Burnley
Some tips for your application 🫡
Show Off Your Relevant Skills:For a data science apprenticeship, make sure to highlight your skills in statistics, programming (especially Python or R), and data visualisation tools. Mention any relevant projects or coursework where you've applied these skills, even if it’s just in a school setting!
Tailor Your Motivation:In your cover letter, focus on why you want to dive into data science specifically. Share how this apprenticeship aligns with your career goals and learning aspirations. Remember, this is about showing us at Safran UK that you're eager to learn and grow in the data field!
Portfolio Power!:Even if it's an apprenticeship, having a small portfolio of your data projects can set you apart. Include any analyses, visualisations, or data science-related tasks you’ve completed, whether on your own or as part of your studies. This shows that you've got hands-on experience, which is super appealing.
Keep It Relevant and Concise:Your CV should be focused and relevant – keep it to one page if possible! Tailor it for the data science role by including specific coursework, skills, and any experience with data handling. If you’ve done any data-related activities in clubs or competitions, throw those in too—every bit counts!
How to prepare for a job interview at Safran UK
✨Brush Up on the Basics
Before your interview with Safran UK, we need to nail down the fundamentals of statistics and machine learning. As an apprenticeship candidate, they’ll be keen on your understanding of key concepts—so make sure you can talk about linear regression, classification, and maybe even some hands-on work with tools like Python or R.
✨Showcase Your Projects
Bring any portfolios or projects you've worked on that highlight your data analysis skills. Even if they're for school or personal projects, being able to demonstrate how you approached a problem, analysed data, and derived insights will give you a leg up. Don't just talk about the data—show them what you've done with it!
✨Get Comfortable with Technical Questions
Expect some technical questions that test your problem-solving skills! You might be asked to explain how you would approach a specific dataset or solve a classic data challenge. Practise explaining your thought processes clearly, as this will showcase your analytical abilities as well as your ability to communicate complex ideas.
✨Emphasise Your Willingness to Learn
As an apprentice, your eagerness to learn is your biggest asset. Be prepared to discuss what you're looking to gain from the apprenticeship at Safran UK. Whether it's mastering new programming tools or applying theoretical knowledge to real-life problems, let them know you're all about growing your skills and contributing to the team!
