At a Glance
- Tasks: Create stunning Power BI dashboards and deliver actionable insights for business decisions.
- Company: AFL, a leader in Business Intelligence with a focus on innovation.
- Benefits: Gain hands-on experience, mentorship, and a chance to work with real data.
- Other info: Three semesters of co-op for valuable industry experience and networking.
- Why this job: Perfect opportunity for STEM students to enhance skills and make an impact.
- Qualifications: Pursuing a degree in STEM or data-related fields; passion for analytics.
The predicted salary is between 31500 - 38500 £ per year.
AFL offers a Business Intelligence (BI) Co-Op in the United Kingdom, focusing on reporting, analytics, and data visualization.
You will work with Power BI to develop dashboards and reports, support data cleaning and modeling, and deliver insights to enable business decisions.
Three semesters of co-op rotation between AFL and university provide hands-on experience with stakeholders and analytics initiatives, in a role designed for students pursuing STEM and data-oriented degrees.
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BI Analytics Co-Op: Power BI Dashboards & Insights in Thurso employer: AFL
AFL is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the fast-paced field of optical fiber network infrastructure. With a strong commitment to employee growth, AFL provides ample opportunities for professional development and career advancement, all while enjoying the flexibility of a hybrid working model in Milton Keynes. Join a team that values your contributions and supports your journey towards meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land BI Analytics Co-Op: Power BI Dashboards & Insights in Thurso
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace BI Analytics Co-Op: Power BI Dashboards & Insights in Thurso
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at AFL will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at AFL
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress AFL.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show AFL that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
