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For Companies At a Glance
- Tasks: Generate weekly reports and conduct Customer Profitability analysis.
- Company: Join FourteenIP, a dynamic company in Wigan with great growth potential.
- Benefits: Enjoy a competitive salary, pension plan, onsite parking, and awesome perks.
- Why this job: Kickstart your career in data analysis with hands-on experience and a supportive team culture.
- Qualifications: No prior experience needed; just bring your enthusiasm and willingness to learn!
- Other info: This apprenticeship is a fantastic stepping stone into the tech industry.
FourteenIP are looking for a Junior Data Analyst Apprentice to join their team at the Wigan office! Offering a competitive £15,000 salary, company pension plan, onsite parking, and plenty of other perks, this is an opportunity you dont want to miss!
As an apprentice, you’ll be responsible for generating weekly reports, gathering data, conducting regular Customer Profitability analysis, and more. Yo…
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Data Analyst Apprenticeship employer: Baltic Apprenticeships
Contact Detail:
Baltic Apprenticeships Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Apprenticeship
✨Tip Number 1
Familiarize yourself with data analysis tools like Excel, SQL, or Python. Having a solid understanding of these tools will not only help you in the apprenticeship but also impress the hiring team at FourteenIP.
✨Tip Number 2
Show your enthusiasm for data by working on personal projects or case studies. This hands-on experience can be a great conversation starter during interviews and demonstrates your commitment to learning.
✨Tip Number 3
Network with current or former employees of FourteenIP on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and the specific skills they value in a Data Analyst Apprentice.
✨Tip Number 4
Prepare to discuss how you approach problem-solving with data. Be ready to share examples of how you've used data to make decisions or improve processes, as this is crucial for the role you'll be applying for.
We think you need these skills to ace Data Analyst Apprenticeship
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Junior Data Analyst Apprentice position at FourteenIP. Understand the key responsibilities, such as generating reports and conducting profitability analysis, so you can tailor your application accordingly.
Highlight Relevant Skills: In your CV and cover letter, emphasize any relevant skills or experiences related to data analysis, report generation, and customer profitability. Mention any tools or software you are familiar with that could be beneficial for the role.
Craft a Compelling Cover Letter: Write a personalized cover letter that explains why you are interested in the apprenticeship and how your background makes you a suitable candidate. Be sure to express enthusiasm for the opportunity to learn and grow within the company.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects attention to detail, which is crucial for a data analyst role.
How to prepare for a job interview at Baltic Apprenticeships
✨Understand the Role
Make sure you have a clear understanding of what a Junior Data Analyst does. Familiarize yourself with generating reports and conducting profitability analysis, as these will likely be key topics during your interview.
✨Show Your Analytical Skills
Prepare to discuss any previous experience or projects where you've analyzed data. Be ready to explain your thought process and how you arrived at your conclusions, as this will demonstrate your analytical capabilities.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company and the role. This shows your interest in the position and helps you understand if it's the right fit for you.
✨Highlight Your Teamwork Abilities
As an apprentice, you'll be working closely with others. Be prepared to share examples of how you've successfully collaborated in the past, as teamwork is often crucial in data analysis roles.
