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, flexible working options, and opportunities for professional growth.
- Other info: Join a collaborative team and thrive in a fast-paced, innovative setting.
- Why this job: Make a real impact by driving data-driven decisions in a cutting-edge environment.
- Qualifications: Bachelor’s degree and 8+ years of data analysis experience required.
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. You will work closely with procurement, finance, engineering, and operations stakeholders to develop reporting, forecasting and analytics capabilities across a growing technology estate.
Data Analyst role:
- Extract, cleanse, and integrate data from cloud platforms, procurement systems, infrastructure management tools, and financial systems.
- Develop and maintain dashboards and reporting for procurement, infrastructure, finance, and executive stakeholders.
- 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.
- Present findings and recommendations to technical and non-technical stakeholders, including senior leadership.
- Support strategic decision making through reporting on supplier commitments, infrastructure investment, and capacity planning.
Your present skillset:
- 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.
- Strong analytical skills with the ability to interpret complex datasets and generate actionable insights.
- Excellent communication skills with experience presenting to senior stakeholders.
- Ability to manage multiple priorities and work independently in a fast-paced environment.
- 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.
- Knowledge of cloud computing, storage architectures and infrastructure best practices is beneficial.
- 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.
Data Analyst in Slough employer: Beaumont Select Ltd
Join a pioneering Global Fintech brand in London, where innovation meets opportunity. As a Data Analyst, you'll thrive in a vibrant work culture that champions collaboration and professional growth, offering you the chance to transform complex data into impactful insights. With a focus on employee development and a commitment to cutting-edge technology, this role provides a unique platform for meaningful contributions to procurement strategies and operational excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Slough
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Beaumont Select Ltd.
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We think you need these skills to ace Data Analyst in Slough
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Beaumont Select Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Beaumont Select Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Beaumont Select Ltd
✨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!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Beaumont Select Ltd!
✨Prepare for Case Studies
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.
