Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our team as a Business Data Analyst, turning data into actionable insights.
- Company: Boots is a leading health and beauty retailer committed to inclusivity and diversity.
- Benefits: Enjoy flexible benefits, generous discounts, and a supportive work environment.
- Why this job: Be part of a dynamic Agile team making impactful decisions in a collaborative culture.
- Qualifications: Bachelor's or Master's degree in relevant fields; experience in data analysis and business intelligence required.
- Other info: Open to part-time options and committed to supporting diverse applicants.
The predicted salary is between 30000 - 42000 £ per year.
We are looking for an analytical Business Data Analyst to join the Data Lynx delivery team. You will bridge the gap between IT capabilities and business objectives, creating data-driven insights to lead strategic decisions and improve business processes. You will play an important project delivery role, working with the partners and IT delivery teams to understand complex data sets and gather requirements to allow the creation of actionable insights and reporting. You will work in an Agile environment, contributing to Program Increment planning and Agile Release Trains to ensure alignment between business and IT teams in delivering value to our organization. You will also be involved in data profiling, ensuring the proper structure, accuracy, and integrity of data to support analysis processes.
What you'll need to have
- Education: Bachelor's or Master's degree OR certification in Information Systems, Data Analytics or Business Analysis (CBAP)
- Experience: Experience in a business analysis and requirements gathering role; Experience in data analysis, business intelligence, or a related role; Experience with data visualization tools and analytics platforms
It would be great if you also have:
- Experience: Healthcare or Retail systems
- Technical Skills: Proficiency in MS Office suite, Lucid, Visio, Murals; Proficiency in data analysis tools such as SQL, Advanced Excel (with VBA), Python, Tableau, or Power BI; Proficiency in agile management tools such as ADO, JIRA; Knowledge of database management and data warehousing; Familiarity with Cloud Technologies - Microsoft Azure and Databricks; Knowledge of business operations, trends, and KPIs; Familiarity with statistical analysis, predictive modelling, and machine learning is advantageous.
Our benefits:
- Retirement Savings Plan
- Discretionary annual bonus
- Generous employee discounts
- Enhanced maternity/paternity/adoption leave pay and gift card for anyone expecting or adopting a child
- Flexible benefits scheme including option to buy additional holiday, discounted gym membership, life assurance, activity passes and more.
- Access to free, 24/7 counselling and support through TELUS Health, our Employee Assistance Programme.
We have a great range of benefits in addition to the above that offer flexibility to suit you - find out more at boots.jobs/rewards. Exclusions may apply, eligible roles only.
Why Boots
At Boots, we foster a working environment where consideration and inclusivity help everyone to be themselves and reach their full potential. We are proud to be an equal opportunity employer, passionate about embracing the diversity of our colleagues and providing a positive and inclusive working environment for all. As the heart of everything we do at Boots, it's with you, we change for the better.
What's next
Where a role is advertised as full-time, we are open to discussing part-time and job share options during the application process. If you require additional support as part of the application and interview process, we are happy to provide reasonable adjustments to help you to be at your best. You will complete a Pre-employment check after receiving an offer. Depending on your location you will be asked to submit either a DBS (Disclosure & Barring Service), PVG (Protection of Vulnerable groups) or an Access NI Check. We are a Ban the Box employer and will consider the suitability of applicants with criminal convictions on a case-by-case basis.
Business Data Analyst employer: BOOTS
Contact Detail:
BOOTS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Data Analyst
✨Tip Number 1
Familiarise yourself with the specific data analysis tools mentioned in the job description, such as SQL, Advanced Excel, and Tableau. Having hands-on experience or even completing a relevant online course can give you an edge during discussions.
✨Tip Number 2
Understand the Agile methodology well, as this role involves working in an Agile environment. Brush up on Agile principles and perhaps even get familiar with tools like JIRA or ADO to demonstrate your readiness to contribute effectively.
✨Tip Number 3
Research Boots' business operations, especially in healthcare or retail systems, to understand their key performance indicators (KPIs) and trends. This knowledge will help you align your insights with their strategic goals during interviews.
✨Tip Number 4
Prepare to discuss how you can bridge the gap between IT and business objectives. Think of examples from your past experiences where you've successfully gathered requirements and delivered actionable insights, as this is crucial for the role.
We think you need these skills to ace Business Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in business analysis, data analysis, and any specific tools mentioned in the job description, such as SQL or Tableau. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that explains why you are a great fit for the Business Data Analyst role. Mention your analytical skills, experience with data visualization tools, and how you can bridge the gap between IT and business objectives.
Showcase Relevant Projects: If you have worked on projects involving data analysis or business intelligence, include these in your application. Describe your role, the tools you used, and the impact of your work on the business outcomes.
Highlight Soft Skills: In addition to technical skills, emphasise your soft skills such as communication, teamwork, and adaptability. These are crucial for working in an Agile environment and collaborating with various teams.
How to prepare for a job interview at BOOTS
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Business Data Analyst. Familiarise yourself with how data analysis contributes to strategic decisions and business processes, as this will help you articulate your fit for the role.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data analysis tools like SQL, Advanced Excel, or Tableau. Highlight specific projects where you've used these tools to derive insights, as practical examples can make a strong impression.
✨Demonstrate Agile Knowledge
Since the role involves working in an Agile environment, be ready to discuss your experience with Agile methodologies. Share examples of how you've contributed to Program Increment planning or worked within Agile Release Trains.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about past experiences where you had to gather requirements or analyse complex data sets, and be ready to explain your thought process and outcomes.
