At a Glance
- Tasks: Transform complex data into actionable insights and develop impactful dashboards.
- Company: Join a leading company enhancing data-driven decision-making across Europe.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with the chance to collaborate across various departments in Europe.
- Why this job: Make a real difference by improving business performance through data analysis.
- Qualifications: Experience in BI or Data Analysis, strong SQL skills, and knowledge of BI tools.
The predicted salary is between 37800 - 46200 £ per year.
We are looking for an experienced BI Analyst to help develop and improve data warehouse, reporting and BI solutions across our Clients European operations.
Working closely with Finance, Commercial, Operations and IT, you will turn complex business data into clear, actionable insights. You will develop dashboards, improve reporting processes and help stakeholders make better informed business decisions.
Key responsibilities:
- Design, build and maintain data warehouse solutions and data pipelines
- Develop dashboards and visualisations using Qlik, Power BI or similar tools
- Translate business requirements into clear, practical reporting solutions
- Improve data quality, governance and documentation
- Automate reporting and reduce manual processes
- Provide analysis and insight to support business performance
- Work with technical and non-technical stakeholders across Europe
What we are looking for:
- Previous experience as a BI Analyst, Data Analyst or similar
- Strong SQL skills
- Experience with data warehousing, reporting and data modelling
- Knowledge of Qlik, Power BI or another BI platform
- Experience with ETL, data integration or scripting
- Strong analytical, problem-solving and communication skills
- The ability to translate complex data into meaningful business insights
Experience within finance, manufacturing, ERP environments, Azure, Snowflake, Python or Tableau would be advantageous.
This is an excellent opportunity to play an important role in improving reporting, insight and data-led decision-making across a European business. Apply today to find out more.
BI Analyst employer: Hays
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StudySmarter Expert Advice🤫
We think this is how you could land BI Analyst
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Hays!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace BI Analyst
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Hays, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Hays
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Hays’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
