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- Tasks: Build data pipelines and create dashboards to drive business insights.
- Company: Dynamic company in London with a hybrid work model.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Exciting role with potential for career advancement until October 2026.
- Why this job: Make an impact by leveraging AI tools and collaborating with diverse teams.
- Qualifications: 8+ years in Data Analytics, strong SQL skills, and experience with visualisation tools.
The predicted salary is between 60000 - 80000 £ per year.
Location: London, UK (Hybrid – 3 days onsite)
Duration: Until October 2026
Responsibilities:
- Build and maintain scalable data pipelines, ensuring data integrity and governance across international markets
- Develop intuitive dashboards and reports to deliver actionable business insights
- Perform deep-dive analysis to identify customer pain points and operational inefficiencies
- Support A/B testing and experimentation to drive continuous improvement
- Leverage AI tools to automate reporting and enhance predictive analytics
- Collaborate with cross-functional teams and communicate insights to stakeholders
Skills:
- Strong SQL expertise for data extraction and transformation
- Experience with visualization tools (Tableau, Qlik, or similar)
- Knowledge of big data platforms such as Snowflake, Databricks, or Spark
- Proficiency in Python or R (preferred)
- Understanding of statistical analysis and experimentation methods
- Strong problem-solving and stakeholder communication skills
Qualifications:
- 8+ years of experience in Data Analytics or Data Science
- Experience in customer success, operations, or digital experience domains preferred
- Exposure to AI/ML or Generative AI is a plus
- Bachelor’s or Master’s degree in a quantitative field (preferred)
Business Data Analyst in Slough employer: Empresaria Group plc
Contact Detail:
Empresaria Group plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Data Analyst in Slough
✨Tip Number 1
Network like a pro! Reach out to connections in the industry, attend meetups, and engage on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Business Data Analyst role.
✨Tip Number 2
Prepare for those interviews! Brush up on your SQL skills and be ready to discuss your experience with data pipelines and visualisation tools. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 3
Showcase your work! Create a portfolio of dashboards or reports you've developed. This will give you an edge and demonstrate your ability to deliver actionable insights. We love seeing real examples of your skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for talented individuals like you to join our team!
We think you need these skills to ace Business Data Analyst in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Business Data Analyst role. Highlight your SQL expertise and experience with data visualisation tools like Tableau or Qlik. We want to see how your skills match what we're looking for!
Showcase Your Experience: Don’t just list your previous jobs; showcase your achievements! Use specific examples of how you've built data pipelines or developed dashboards that delivered actionable insights. This helps us see the impact you've made in your past roles.
Keep It Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Empresaria Group plc
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with the visualisation tools mentioned in the job description, like Tableau or Qlik. Be ready to discuss how you've used these tools in past projects to extract insights and drive decisions.
✨Showcase Your Analytical Mindset
Prepare examples of deep-dive analyses you've conducted. Think about specific instances where you identified customer pain points or operational inefficiencies. This will demonstrate your problem-solving skills and ability to derive actionable insights.
✨Get Comfortable with AI and Automation
Since the role involves leveraging AI tools for reporting and predictive analytics, be prepared to discuss any experience you have with AI/ML. If you’ve automated processes in the past, share those stories to highlight your innovative approach.
✨Communicate Clearly with Stakeholders
Practice explaining complex data findings in simple terms. You’ll need to collaborate with cross-functional teams, so being able to communicate insights effectively is key. Consider role-playing with a friend to refine your delivery.