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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: Join a forward-thinking team until October 2026 with excellent career prospects.
- 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 London 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 London
✨Tip Number 1
Network like a pro! Reach out to connections in the industry, attend meetups, and engage on platforms like LinkedIn. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your SQL and data visualisation skills. We recommend doing mock interviews with friends or using online resources to boost your confidence.
✨Tip Number 3
Showcase your work! Create a portfolio of dashboards or reports you've developed. This gives potential employers a tangible sense of your skills and creativity, making you stand out from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Business Data Analyst in London
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; explain how your 8+ years of experience in Data Analytics or Data Science has prepared you for this role. Share specific examples of projects where you've built data pipelines or developed dashboards.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to communicate your insights effectively. We appreciate straightforward communication!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications 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 in the past. Think about specific customer pain points you've identified and how your insights led to operational improvements. This will demonstrate your problem-solving skills and ability to communicate effectively with stakeholders.
✨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 technologies. If you’ve automated processes in previous roles, share those stories to highlight your innovative approach.
✨Practice Collaborative Scenarios
Collaboration is key in this role, so think of instances where you've worked with cross-functional teams. Prepare to discuss how you communicated insights and drove action among different stakeholders, showcasing your teamwork and communication skills.