Data Analyst

Opus Recruitment Solutions Limited; Greater London; On-site; GBP 70,000 - 90,000; Full time

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

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.