Data Analyst - Contract (London, Hybrid)

Contract Type:

Temporary

Location:

United Kingdom

Contact Name:

Liam McCrory

Contact Email:

lmccrory@space-exec.com

Contact Phone:

+447510132177

Date Published:

20-Mar-2025

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. It will be 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 (Break down the data simply for easy explanations).

 

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.

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