TE

Data Analyst

TEAM4RECApplies on LinkedInData & Analytics
Hiring from
United Kingdom
Work type
Hybrid
Posted
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About the Company

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.


About the Role


Role: Data Analyst


Type: Contract (Inside IR35)


Location: London (Hybrid 2-3 days per week)


Duration: 12 months


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.


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 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.


Preferred Skills

  • 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.


Additional Information

Interested? Apply now with your latest CV and details of your payments analytics experience.


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