Data Analyst

Team4rec; Greater London; Híbrido; GBP 45 000 - 65 000; Tempo parcial

Resumo da oferta

Team4rec is seeking two Data Analysts for a 12-month contract in a hybrid London setup, focusing on payments analytics and reporting. You will work on customer analytics, performance reporting, and dashboard automation, supporting fast-paced analytics initiatives.

The role requires strong SQL, experience with Power BI or Tableau, and the ability to translate business requirements into actionable insights while ensuring data accuracy across reporting outputs.

Qualificações

• Experience as a Data Analyst in Payments, Banking, FinTech, Cards, or Financial Services.
• Strong SQL for data extraction and analysis.
• Experience with Power BI or Tableau for dashboards.

Responsabilidades

• 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.

Conhecimentos

SQL for data extraction

Data analytics

Stakeholder management

Communication skills

Ferramentas

Power BI

Tableau

Descrição da oferta de emprego

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)

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.