Data Analyst

Data Analyst

London – £55,000 + benefits

This is an excellent opportunity for a mid‐level Data Analyst who enjoys variety, ownership, and impact. You’ll work at the heart of a growing data function, helping shape campaigns, improve forecasting, and influence key decisions across the business. If you want a role with real accountability, breadth, and the chance to become a trusted analytical partner — this is it.

The Company

They are a specialist agency with over two decades of experience helping major brands connect with young audiences through insight‐led, socially impactful work. Data underpins everything they do — from campaign planning to client reporting to the development of a major schools‐focused digital platform.

You’ll be joining a small, collaborative data team where autonomy, accuracy, and clear communication really matter.

The Role

As a Data Analyst, you will operate as the central triage point for data questions across the agency. Day‐to‐day, you will:

• Analyse client‐provided datasets, often in Excel, to uncover insight and measure campaign performance.
• Support forecasting and modelling for school‐based and consumer campaigns — including expected registrations, timelines, and channel impact.
• Work closely with their relational database to extract, clean, and manipulate data using SQL.
• Build and refine Power BI dashboards to improve visibility and reporting accuracy.
• Ensure data quality and uphold strong QA standards across all outputs.
• Explain analytical approaches, methods, and assumptions to non‐technical stakeholders.
• Take increasing ownership of client‐facing conversations around insight and performance.

This role directly influences campaign outcomes, business forecasts, and operational decision‐making.

Your Skills & Experience

Core Requirements

• 3–5 years’ experience in a Data Analyst role.
• Strong background in CRM, customer data, or campaign‐focused analytics.
• Agency, marketing, or similarly fast‐paced environment experience.
• Advanced Excel (including lookups, conditional formatting, visualisation).
• Confident SQL skills (joins, selects, manipulation).
• Power BI experience for dashboards and reporting.
• Strong data storytelling and the ability to communicate insights clearly.
• Proven ownership of analysis, QA, and end‐to‐end delivery.

Nice to Have

• Python or R interest/experience.
• Exposure to forecasting beyond simple historical extrapolation.
• Familiarity with UK education structures or previous work involving schools.

What They Offer

• £55,000 base salary
• Hybrid working with at least two days per week in their London office.
• The chance to join a growing data function with excellent long‐term progression.
• High visibility, meaningful responsibility, and a genuinely collaborative culture.

HOW TO APPLY:

• Apply by sending your CV to Joe by the link below