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- Tasks: Analyse complex data and present insights to senior stakeholders using Excel.
- Company: Join a leading cloud-native global payments processor with a dynamic multi-cloud platform.
- Benefits: Enjoy flexible hybrid working, with 2-3 days in the vibrant London office.
- Why this job: Make an impact by transforming data into actionable insights in a fast-paced environment.
- Qualifications: Expertise in Excel and experience as a Data Analyst, preferably in fintech.
- Other info: This is a contract role for an initial 3 months, inside IR35.
My client, a leading cloud-native global payments processor, with a multi-cloud platform offering is seeking a Data Analyst to join their team. This is a contract position for an initial 3 months and will be Inside IR35. It will be a hybrid position offering flexible working (2/3 days per week in their central London office).
Role overview: We are seeking someone who understands complex data and can break down data from pricing structures, in different countries, and onboarded at different times (Some are mature and some are early stage). You will be presenting the data to senior stakeholders whilst also answering questions backed by the data.
Key Responsibilities:
- Analyse large datasets to identify trends, patterns, and opportunities for business improvement.
- Develop and maintain Excel-based dashboards, reports, and data models for key stakeholders.
- Utilize Power Query and VBA to automate data processing and reporting workflows.
- Collaborate with cross-functional teams to provide data-driven insights.
- Validate and clean data to ensure accuracy and reliability.
- Support ad hoc reporting and analysis requests from internal teams.
- Optimize Excel spreadsheets for better performance and efficiency.
- Assist in integrating Excel-based reports with other analytical tools or databases.
Requirements:
- Proven experience as a Data Analyst, preferably in the payments or fintech industry.
- Expert-level proficiency in Microsoft Excel, including pivot tables, Power Query, VBA, and advanced formulas.
- Strong analytical and problem-solving skills with a keen eye for detail.
- Experience with data visualisation techniques in Excel and other BI tools (e.g., Power BI, Tableau) is a plus.
- Familiarity with SQL and database structures is an advantage.
Data Analyst (Excel specialist) employer: Space Executive
Contact Detail:
Space Executive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Excel specialist)
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, especially Excel features like Power Query and VBA. Consider creating a small project or case study that showcases your ability to automate data processing and reporting workflows using these tools.
✨Tip Number 2
Prepare to discuss your experience with analysing large datasets and identifying trends. Think of examples from your past work where you successfully presented complex data to stakeholders, as this will demonstrate your ability to break down information simply.
✨Tip Number 3
Network with professionals in the fintech and payments industry. Attend relevant meetups or webinars to connect with others in the field, which could lead to valuable insights and potential referrals for the position.
✨Tip Number 4
Showcase your analytical skills by preparing a portfolio of your previous work. Include examples of dashboards, reports, or data models you've created in Excel, highlighting how they contributed to business improvements or decision-making.
We think you need these skills to ace Data Analyst (Excel specialist)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Analyst, especially your proficiency in Excel, Power Query, and VBA. Use specific examples that demonstrate your ability to analyse large datasets and present findings to stakeholders.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the role and how your skills align with the company's needs. Mention your experience in the payments or fintech industry and your ability to simplify complex data for easy understanding.
Showcase Relevant Projects: If you have worked on projects that involved data analysis, Excel dashboards, or automation using VBA, include these in your application. Briefly describe the project, your role, and the impact it had on the business.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at Space Executive
✨Showcase Your Excel Expertise
Make sure to highlight your proficiency in Excel during the interview. Be prepared to discuss specific functions, such as pivot tables and VBA, and provide examples of how you've used them to solve complex data problems.
✨Prepare for Data Presentation
Since you'll be presenting data to senior stakeholders, practice breaking down complex datasets into simple, understandable insights. Use clear visuals and be ready to answer questions about your findings.
✨Demonstrate Analytical Skills
Be ready to discuss your analytical approach. Share examples of how you've identified trends or opportunities for business improvement in past roles, especially in the payments or fintech sectors.
✨Familiarise Yourself with the Company
Research the company and its multi-cloud platform. Understanding their business model and challenges will help you tailor your responses and show that you're genuinely interested in contributing to their success.
