At a Glance
- Tasks: Transform complex data into actionable insights for procurement and investment strategies.
- Company: Fast-growing Global Fintech brand with a dynamic culture.
- Benefits: Competitive salary, growth opportunities, and a collaborative team environment.
- Other info: Join a vibrant team focused on innovation and efficiency in the fintech space.
- Why this job: Make a real impact by analysing data that drives key business decisions.
- Qualifications: Bachelor’s degree and 8+ years in data analysis with strong Excel and SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
This innovative and fast-paced Global Fintech brand is going through considerable growth and is looking for a Data Analyst to join their dynamic Procurement Team. This exciting new role focuses on transforming complex operational, financial and infrastructure data into actionable insights that support procurement decisions, capacity planning, supplier management, and investment strategy.
Data Analyst role:
- Extract, cleanse, and integrate data from cloud platforms, procurement systems, infrastructure management tools, and financial systems.
- Analyse infrastructure utilisation, asset lifecycle trends, capacity planning metrics, and technology refresh programmes.
- Combine cloud consumption, procurement, financial and operational datasets to provide business insights and decision support.
- Analyse cloud, colocation, and infrastructure costs to support investment planning and optimisation initiatives.
- Develop forecasting models for infrastructure demand, supplier commitments, and hardware procurement planning.
- Partner with engineering and operations teams to provide insight into server utilisation, storage growth, network capacity, and operational efficiency.
- Evaluate opportunities to improve infrastructure performance, resiliency, and cost effectiveness.
- Develop KPI frameworks and operational metrics for cloud services, infrastructure assets, and operational processes.
- Build and improve automated reporting, analytics workflows, and data pipelines.
Qualifications:
- Bachelor’s degree in finance, Data Analytics, Computer Science, Engineering, or a related discipline.
- ~8 or more years of experience in data analysis within procurement, infrastructure, asset management, finance, or technology operations.
- Strong understanding of AWS reporting, cloud financial management and cloud consumption analytics.
- Experience analysing infrastructure assets, capacity planning, hardware lifecycle management, and technology refresh programmes.
- Advanced Excel skills and strong SQL expertise.
- Experience using Python for analytics, automation, and data processing.
- Proficiency with Tableau or similar visualisation and reporting tools.
- Familiarity with ERP platforms and procurement systems such as SAP or Coupa is beneficial.
- Experience with infrastructure management, asset management or data centre management platforms is advantageous.
- Experience building automated data pipelines, ETL processes and enterprise reporting solutions is advantageous.
- Understanding of FinOps principles, supplier commitment management and infrastructure investment analysis is beneficial.
If you would like to know more about this Data Analyst opportunity, please call Jane Wallbank on +44 (0)1403 248448.
Data Analyst - Tableau/Excel in London employer: Beaumont Select Ltd
Beaumont Select is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration within the fast-paced Fintech sector. Employees benefit from extensive growth opportunities, competitive compensation, and the chance to work in a dynamic environment in London, where they can make a meaningful impact on procurement strategies and infrastructure optimisation.
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We think this is how you could land Data Analyst - Tableau/Excel in London
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We think you need these skills to ace Data Analyst - Tableau/Excel in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
