Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Support the transition to Power BI and develop Business Intelligence solutions.
- Company: Leading UK publishing company with a focus on innovation.
- Benefits: Flexible working environment, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in data transformation.
- Qualifications: Experience with BI platform migrations and strong problem-solving skills.
- Other info: Collaborative culture with diverse teams and remote work options.
The predicted salary is between 28800 - 48000 £ per year.
A leading publishing company in the UK seeks an Analytics Engineer to support the transition from Cognos to Power BI. This role involves developing and maintaining Business Intelligence solutions while collaborating across various teams to meet data needs.
Candidates should have experience with BI platform migrations, strong problem-solving skills, and the ability to communicate effectively with diverse stakeholders.
The position offers a flexible working environment with a blend of in-office and remote work options.
Analytics Engineer: Power BI & Cloud Data Transformation employer: Hachette UK
Contact Detail:
Hachette UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer: Power BI & Cloud Data Transformation
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Power BI or have experience in BI migrations. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous BI projects, especially any work with Power BI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled challenges in past projects, particularly around data transformation and stakeholder communication.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Analytics Engineer: Power BI & Cloud Data Transformation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with BI platform migrations and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your problem-solving abilities!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the transition from Cognos to Power BI and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Communication Skills: Since this role involves collaborating with various teams, make sure to highlight your ability to communicate effectively with diverse stakeholders. Share examples of how you've successfully worked with others in the past – it’ll really help us see you in action!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Hachette UK
✨Know Your BI Tools Inside Out
Make sure you’re well-versed in Power BI and any other BI tools mentioned in the job description. Brush up on your knowledge of data transformation processes and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced during BI platform migrations. Be ready to explain your thought process and the steps you took to resolve issues, as this will demonstrate your analytical skills and adaptability.
✨Communicate Like a Pro
Since the role involves collaborating with various teams, practice articulating complex data concepts in simple terms. Think of examples where you successfully communicated with non-technical stakeholders to ensure everyone was on the same page.
✨Embrace Flexibility
With a flexible working environment, be prepared to discuss how you manage your time and productivity in both remote and in-office settings. Share strategies that have worked for you in balancing collaboration and independent work.
