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- Tasks: Join us as a Data Analyst Apprentice and dive into data analysis in the Telecom sector.
- Company: Zayo Europe is a leading fibre network operator, shaping connectivity since 2012.
- Benefits: Enjoy a competitive salary, company bonus scheme, and flexible working options.
- Why this job: Kickstart your career with hands-on experience and a supportive team culture.
- Qualifications: 7 GCSEs and 3 A Levels required; no prior experience needed!
- Other info: This apprenticeship is perfect for graduates seeking a data consultancy career.
Please note that this is an apprenticeship position and therefore anyone with more than six months professional experience working as a data analyst or who holds a degree or Master’s degree in a subject such as Data Science, Business Analytics or Maths will not be eligible. You will also need to commit to completing a Level 4 Data Analyst Apprenticeship.
Zayo Europe is looking for an ambitious, enthusiastic and diligent Data Analyst Apprentice to join our team. This is a unique opportunity to develop your career in data analysis and gain valuable experience in the Telecom sector.
Duties And Responsibilities- Establish reporting needs and deliver insightful and accurate information
- Collect, compile and cleanse data
- Identify business problems and present insights to influence actions
- Identify, analyse, and interpret trends or patterns in data sets
- Summarise and present the results of data analysis to a range of stakeholders, making recommendations
- Interrogate and analyse data to root-cause data quality issues
- Support automation initiatives to enhance data processing and reporting
- Participate in cross-functional discussions to translate business needs into data-driven solutions
- Strong analytical skills: ability to define problems, collect data, establish facts, draw valid conclusions and make sound recommendations
- Attention to detail & ability to meet deadlines
- Strong work ethic and ability to effectively manage a high-volume workload
- Excellent communication, interpersonal & organizational skills
- Ability to build positive relationships
- Ability to follow instructions, to work both independently and as part of a team
- Possess a keen attitude, a willingness to learn
- 7 GCSEs (or equivalent) at grades 9-4 or A-C, including English and Mathematics
- 3 A Levels (or equivalent) at grades A*-C in any subject but preferably one in a numerical or computing subject
Salary: £21,000 + company bonus scheme
Location: we are based at 114 Whitechapel High Street | London, E1 7PT. The successful applicant will be required to attend our offices at least 2 days per week though all employees are welcome to work from the office on other days.
Data Analyst Apprentice employer: Digital Native
Contact Detail:
Digital Native Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Apprentice
✨Tip Number 1
Familiarise yourself with the telecom industry and Zayo Europe specifically. Understanding their services, values, and recent developments will help you engage in meaningful conversations during interviews and demonstrate your genuine interest in the company.
✨Tip Number 2
Brush up on your analytical skills by practising data interpretation and problem-solving exercises. Use online resources or platforms to work on real-world data sets, as this will prepare you for the types of tasks you'll encounter in the apprenticeship.
✨Tip Number 3
Network with current or former employees of Zayo Europe or similar companies. Engaging with professionals in the field can provide you with insights into the role and the company culture, which can be invaluable during your application process.
✨Tip Number 4
Prepare to discuss your willingness to learn and adapt. Since this is an apprenticeship, showcasing your enthusiasm for personal and professional growth will resonate well with the hiring team, as they are looking for candidates who are eager to develop their skills.
We think you need these skills to ace Data Analyst Apprentice
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Analyst Apprentice position. Familiarise yourself with the skills needed, such as strong analytical abilities and attention to detail.
Tailor Your CV: Craft your CV to highlight relevant skills and experiences that align with the job description. Emphasise any coursework or projects related to data analysis, even if they were part of your studies.
Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for the apprenticeship and explain why you are a good fit for the role. Mention your willingness to learn and how you can contribute to Zayo's goals.
Follow Application Instructions: Ensure you follow all application instructions carefully. Submit your application through our website, including all required documents, and double-check for any specific requirements mentioned in the job listing.
How to prepare for a job interview at Digital Native
✨Show Your Analytical Skills
Prepare to demonstrate your analytical skills during the interview. Think of examples where you've defined problems, collected data, and drawn conclusions. This will show that you can handle the responsibilities of a Data Analyst Apprentice.
✨Communicate Clearly
Since you'll be summarising and presenting results to various stakeholders, practice explaining complex data insights in simple terms. Clear communication is key, so consider how you would present your findings to someone without a technical background.
✨Demonstrate Your Willingness to Learn
Zayo is looking for someone with a keen attitude and a willingness to learn. Be prepared to discuss how you’ve approached learning new skills in the past and express your enthusiasm for developing your career in data analysis.
✨Understand the Company and Its Vision
Research Zayo Europe and its role in the telecom sector. Understanding their vision for connectivity and how data analysis fits into their operations will help you align your answers with their goals during the interview.
