Power BI Data Analytics Apprentice — Service Performance in Cardiff

Power BI Data Analytics Apprentice — Service Performance in Cardiff

Cardiff Apprenticeship 19350 - 23650 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Contribute to performance improvement and data visualisation projects.
  • Company: Cardiff Council, committed to public service and community impact.
  • Benefits: Hybrid working, training, mentorship, and Level 3 qualifications.
  • Other info: Join a supportive team with opportunities for career growth.
  • Why this job: Gain valuable skills while making a difference in your community.
  • Qualifications: No prior experience required; just a passion for data and analysis.

The predicted salary is between 19350 - 23650 £ per year.

Cardiff Council is recruiting a Corporate Apprentice (Level 3) Service Performance Analyst based at County Hall, Cardiff Bay, with hybrid working.

You will contribute to performance improvement, data visualisation, and BI projects while gaining Welsh Government Data Analytics Level 3 qualifications.

You will work closely with the Performance & Insight Team on data collection, analysis and reporting, with training and mentorship to develop transferable skills for your career in public service.

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Power BI Data Analytics Apprentice — Service Performance in Cardiff employer: Cardiff Council

Join us at Cardiff Council, where we are dedicated to providing a supportive and nurturing environment for both our staff and the children in our care. As a Deputy Residential Manager in Doncaster, you will benefit from a competitive salary of £39,890, a structured work rota that promotes work-life balance, and ample opportunities for professional development within a collaborative team. Our commitment to high-quality care and positive outcomes for children ensures that you will find your role both meaningful and rewarding.

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Contact Details:

Cardiff Council Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Power BI Data Analytics Apprentice — Service Performance in Cardiff

✨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 Cardiff Council.

✨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 Cardiff Council and show them you’re genuinely passionate about the field.

We think you need these skills to ace Power BI Data Analytics Apprentice — Service Performance in Cardiff

Data Visualisation
Data Collection
Data Analysis
Reporting Skills
Performance Improvement
Business Intelligence (BI)
Analytical Skills

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 Cardiff Council 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 Cardiff Council

✨Brush Up on the Basics

Before your interview with Cardiff Council, 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 Cardiff Council. 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!