Senior Data Analyst

Overview

Location: Nottingham (3 days in office – Tue, Wed, Thurs)

Salary: Up to £52,000 (can send up to £55k)

Employment Type: Permanent

Company:

A global bank.

Team Structure

• Total Data Analytics team: 35 analysts
• Sub-teams include:
  • Customer Campaigns (campaign building, analysis, personalisation, segmentation)
  • Business Reporting & MI
  • Risk Events & Recovery (analytics to mitigate adverse events)
  • Regulatory Reporting
• Team placement depends on skillset and headcount, decided at offer stage.
• Internal movement across teams is common.

Role Overview

A core analytics role focused on data extraction, manipulation, insight generation, and stakeholder collaboration. You will work with cross‑functional teams to understand requirements and deliver analytical solutions that drive business performance and growth.

Key Responsibilities

• Extract and manipulate data from multiple sources.
• Use analytics to deliver insights for key business areas.
• Build and develop analytical solutions to support decision-making.
• Partner with stakeholders to understand needs and translate them into actionable outputs.
• Support reporting, optimisation, customer understanding, and business strategy.

Requirements

• Advanced SQL (essential).
• Python (highly beneficial; two headcounts require Python).
• Data visualisation experience (Tableau preferred, but any tool accepted).
• Strong communication and stakeholder management skills.
• Numerical, analytical, and quantitative capability.
• 2+ years in a Data Analyst role.
• Financial Services experience beneficial but not required.
• STEM degree preferred but not essential.

Interview Process

• Online Assessment (20 mins): situational questions assessing competencies and cultural alignment.
• Job Fit Interview (30–45 mins): job-specific skills, one short quantitative task, and hypothetical SQL/Python questions (if applicable).
• Final In‑Person Interview: case study and live practical assessment.