At a Glance
- Tasks: Create impactful reports and dashboards that drive key business decisions.
- Company: Join a dynamic team in a supportive data function.
- Benefits: Competitive salary, autonomy in your role, and opportunities for international travel.
- Other info: Work on-site in Somerset, collaborating closely with teams across hospitality and e-commerce.
- Why this job: Make a real impact with your data skills in a hands-on environment.
- Qualifications: Strong SQL skills and experience with BI tools like Power BI or Tableau.
The predicted salary is between 50000 - 70000 € per year.
This Senior BI Data Analyst role is all about ownership, visibility and impact. You will create and deliver trusted reporting that supports day to day decision making across operations, commercial and finance teams. Working closely with senior stakeholders, you will translate complex data into clear insight that people genuinely rely on. This is a hands‑on, on‑site role where your work will be seen, involved and valued.
What you’ll be doing:
- Own reporting from start to finish.
- Gather requirements directly from stakeholders, design clear reporting solutions and build dashboards that answer business questions.
- Work closely with operational and commercial teams on‑site to understand how the business runs and reflect that in the data.
- Create and maintain automated dashboards across hospitality and e‑commerce performance, ensuring numbers are accurate and trusted.
- Deliver ad hoc analysis and deep dives to support planning, performance reviews and decision making.
- Build confidence in data through documentation, validation and simple self‑service tools.
What experience you’ll need to apply:
- Several years of experience as a Senior BI Data Analyst or similar role (at a senior level).
- Strong SQL skills and confidence working across multiple data sources.
- Hands on experience with BI tools such as Power BI, Tableau or Looker.
- Strong stakeholder engagement skills and experience working with non‑technical teams.
- Experience in hospitality, retail or e‑commerce environments is desirable.
- Comfortable on‑site 5 days per week.
What you’ll get in return for your experience:
In return for your experience as a Senior BI Data Analyst, you will receive a salary between £50,000 and £70,000, depending on experience. You will work in a role with genuine autonomy and influence, where your reporting directly supports operational and commercial decisions. This is an on‑site role based in Somerset (5 days per week), plus international travel. You will be joining a supportive data function with clear expectations and the opportunity to make a long‑term impact.
What’s next? If this Senior BI Analyst opportunity sounds like a good fit, please apply via the apply button.
Senior BI Analyst employer: ADLIB
As a Senior BI Analyst at our company, you will thrive in a dynamic and supportive work culture that values your insights and contributions. With a focus on employee growth, we offer opportunities for professional development and the chance to make a significant impact on operational and commercial decisions. Located in Somerset, this role provides a unique blend of autonomy and collaboration, ensuring your work is both visible and valued within the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Senior BI Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in hospitality or e-commerce. 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 best dashboards and reports. This will give potential employers a taste of what you can do and how you can add value to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and BI tools knowledge. Be ready to discuss how you've used data to drive decisions in past roles, and don’t forget to highlight your stakeholder engagement skills!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from candidates who are genuinely excited about the role and our company.
We think you need these skills to ace Senior BI Analyst
Some tips for your application 🫡
Show Your Ownership:In your application, make sure to highlight your experience in owning projects from start to finish. We want to see how you've taken charge of reporting and analysis in previous roles, just like you'll be doing here.
Speak Our Language:Use the same terminology found in the job description. When discussing your skills with SQL or BI tools, relate them back to how they can support decision-making and stakeholder engagement, as this is key for us.
Be Clear and Concise:When crafting your application, clarity is crucial. We appreciate straightforward communication, so avoid jargon and focus on delivering your insights in a way that’s easy to understand.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at ADLIB
✨Know Your Data Inside Out
As a Senior BI Analyst, you'll be expected to have a strong grasp of SQL and BI tools. Brush up on your technical skills and be ready to discuss specific projects where you've used these tools to create impactful reports or dashboards.
✨Engage with Stakeholders
Since the role involves working closely with senior stakeholders, practice how you would gather requirements from them. Prepare examples of how you've translated complex data into clear insights that non-technical teams can understand.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you've tackled challenges in previous roles. Think of instances where your analysis led to significant business decisions, especially in hospitality, retail, or e-commerce environments.
✨Demonstrate Your Impact
This role is all about ownership and visibility. Be ready to share specific examples of how your reporting has influenced decision-making processes. Highlight any automated dashboards you've created and how they improved efficiency or accuracy.
