Payments Data Analyst – Hybrid, 12-Month Contract

Opus Recruitment Solutions Limited

Greater London

Hybrid

GBP 70,000 - 90,000

Full time

5 days ago
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Job summary

Opus Recruitment Solutions Limited is seeking two Data Analysts to join a London-based project on a 12-month contract (Inside IR35) with hybrid working 2-3 days per week. You will focus on customer analytics, performance reporting, and dashboard automation within the Payments/FinTech sector.

Ideal candidates will have strong SQL, hands-on experience with Power BI or Tableau, and a good grasp of customer segmentation and analytics.

Qualifications

  • 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 visualization tools.
  • Knowledge of customer segmentation, reporting and analytics.
  • Excellent communication and stakeholder management skills.
  • Desirable: Python, R, SAS or other analytics tools.

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.
  • Analyze 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.

Skills

SQL
Power BI
Tableau
Customer segmentation
Analytics
Stakeholder management
Communication

Tools

Python
R
SAS

Job description

Opus Recruitment Solutions Limited is seeking two Data Analysts to join a London-based project on a 12-month contract (Inside IR35) with hybrid working 2-3 days per week. You will focus on customer analytics, performance reporting, and dashboard automation within the Payments/FinTech sector.

Ideal candidates will have strong SQL, hands-on experience with Power BI or Tableau, and a good grasp of customer segmentation and analytics.

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