At a Glance
- Tasks: Create and maintain Power BI reports, support data migration, and engage with stakeholders.
- Company: Join a well-established professional services group with a focus on data innovation.
- Benefits: Enjoy 26 days holiday, gym access, subsidised meals, and a strong pension plan.
- Other info: Dynamic hybrid work environment with opportunities for career progression into Data Engineering.
- Why this job: Make a real impact by democratizing data and improving decision-making across the business.
- Qualifications: 3+ years in BI/MI with strong Power BI and SQL skills; great communication is key.
The predicted salary is between 40000 - 50000 £ per year.
Location: Warrington (Hybrid - typically 3 days onsite)
About us
We’re partnering with a well‑established professional services group to grow their BI Centre of Excellence. The role sits at Head Office and works across commercial, operations, finance, HR and external partners - you’ll be a visible, trusted BI resource for the business, helping democratise data and improve decision making.
Role summary
Hands‑on BI / Data Analyst with a strong focus on Power BI and stakeholder engagement. You’ll deliver MI and self‑service BI outputs, maintain the BI platform, support the migration to Microsoft Fabric, and own the presentation of insights to senior stakeholders. The role blends BAU support, project work and data innovation.
Key responsibilities
- Create, schedule and maintain Power BI reports and dashboards (Power BI Desktop/Service) and other visualisation platforms (Fabric, SSRS, Excel)
- Build star‑schema semantic datasets and author SQL Server‑based datasets; support ETL/data pipelines and ensure data quality controls and integrity checks (control dashboard)
- Translate stakeholder requirements into actionable visualisations; run workshops, lead presentations and “hold the room” for senior audiences
- Promote and enable self‑service BI for internal and external users; mentor colleagues and contribute to best‑practice standards
- Liaise with internal & external customers to improve decision making, feed insights back to Data Science & Strategy, and contribute to the growth of the Data Estate
- Work within Agile/Waterfall methodologies, manage tickets and contribute to task/project management
What we’re looking for (non‑negotiables)
- 3+ years’ BI/MI experience with strong Power BI and SQL Server skills (dataset authoring, optimisation) - Data Analysts with equivalent skills considered
- Strong T‑SQL/SQL development experience and comfortable working with large/complex datasets and recurring reporting cadences
- Outstanding stakeholder management and presentation skills — must be outgoing, personable and able to manage and maintain relationships across Head Office/commercial teams
- Pragmatic, curious and collaborative — technically minded and people‑focused
- Experience with Microsoft Fabric migration and modern Power BI/Fabric workflows
- Familiarity with Azure Data Factory, Databricks exposure, SSRS and Power Platform (Power Automate / Power Apps)
- Experience with CI/CD for BI, version control (GIT) and Dev/UAT/Prod deployment processes
- Knowledge of data governance, RLS, DPIAs and cross‑tenant secure data sharing
What you’ll get
- Long‑term BI team with progression into Data Engineering / Data Science
- Onsite perks: gym, food pantry, subsidised restaurant, EV chargers, free breakfast/lunch options
- 26 days holiday + bank holidays, enhanced pension, medical cash plan and other benefits
Business Intelligence Analyst in Warrington employer: Loop Recruitment
Join a dynamic and supportive professional services group in Warrington, where you will play a pivotal role in the Business Intelligence Centre of Excellence. With a strong focus on employee growth, you will have opportunities to progress into Data Engineering or Data Science, all while enjoying a vibrant work culture that includes onsite perks like a gym, subsidised meals, and generous holiday allowances. This hybrid role not only allows for flexibility but also fosters collaboration across various departments, making it an ideal environment for those looking to make a meaningful impact through data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Business Intelligence Analyst in Warrington
✨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 Loop Recruitment!
✨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 Business Intelligence Analyst in Warrington
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 Loop Recruitment, 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 Loop Recruitment
✨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 Loop Recruitment’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.
