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Temporary/CasualTechnology

Data Analyst

Opus Recruitment SolutionsLondon🇬🇧United Kingdom

Why this role stands out

You'll gain valuable experience in customer analytics and dashboard automation within the dynamic FinTech sector, enjoying a hybrid work model for excellent flexibility. This role is perfect for a mid-senior Data Analyst with strong SQL and visualization skills, particularly those with experience in payments or banking, eager to make a significant impact. You're encouraged to apply and elevate your career in this exciting opportunity.

Quick overview

SeniorityMid Senior
Employment typeTemporary/Casual
Work modeHybrid
LocationLondon, United Kingdom
Stakeholder ManagementSQLTableauPythonPower BI

Job description

Role: Data Analyst
Type: Contract (Inside IR35)
Location: London (Hybrid 2-3 days per week)
Duration: 12 months
About the Role
We are seeking two Data Analysts with experience within the Payments, Banking, FinTech, or Cards sector to support a range of analytical and reporting initiatives. This is an excellent opportunity to work on customer analytics, performance reporting, and dashboard automation within a fast-paced environment.
Key Responsibilities
  • Conduct backbook segmentation and customer analytics.
  • Support propensity modelling and predictive analytics activities.
  • Deliver performance reporting and business insights.
  • Develop, automate, and maintain dashboards and MI reporting.
  • Analyse large datasets to identify trends and actionable recommendations.
  • Collaborate with stakeholders to translate business requirements into analytical solutions.
  • Ensure data accuracy and quality across all reporting outputs.
Required Skills & Experience
  • Experience as a Data Analyst within Payments, Banking, FinTech, Cards, or Financial Services.
  • Strong SQL skills for data extraction and analysis.
  • Experience with Power BI, Tableau, or similar visualisation tools.
  • Knowledge of customer segmentation, reporting, and analytics.
  • Strong analytical and problem-solving capabilities.
  • Excellent communication and stakeholder management skills.
Desirable
  • Exposure to Python, R, SAS, or other analytics tools.
  • Experience with propensity modelling or predictive analytics.
  • Understanding of customer behaviour, transaction data, and payments products.
What's on Offer
  • 12-month contract with a leading organisation.
  • Opportunity to work on business-critical analytics projects.
  • Hybrid working model with London-based collaboration.
  • Suitable for ambitious analysts with relevant payments experience and strong technical skills.
Interested?
Apply now with your latest CV and details of your payments analytics experience.

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