Paid Media Performance Data Analyst

Experis - ManpowerGroup; Greater London; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading recruitment company is looking for a Data Analyst specializing in Paid Media Performance to join their team in London. The successful candidate will analyze performance data, create reports, monitor data quality, and provide actionable insights to support business decisions. Candidates should have strong analytical and technical skills, especially in Python, along with a solid understanding of digital marketing. This is a hybrid position with a one-year contract.

Qualifications

• Experience using large datasets for performance analysis.
• Ability to connect data to marketing strategy and business impact.
• Understanding of Paid Media channels.

Responsibilities

• Consolidate and interpret paid media data to identify trends.
• Lead creation of monthly performance reports.
• Monitor data quality and compliance.
• Translate complex datasets into actionable insights.
• Automate data processing workflows using Python.

Skills

Strong analytical skills

Business acumen

Strong technical skills (Python)

Proficiency in Excel

Data visualization tools (Power BI, Looker Studio)

Tools

Python

Excel

Power BI

Looker Studio

Job description

Job Title: Data Analyst - Paid Media Performance

Contract: 1 year (period: 02/02/2026 to 29/01/2027)

IR35: Inside

Location: London (Hybrid)

Overview

We are looking for a Data Analyst with strong business acumen to support on global Paid Media performance reporting and insights. The role will work closely with the Digital Marketing Performance team, regional stakeholders, and our analytics partners to ensure high-quality data, actionable insights, and improved decision-making across markets.

Key responsibilities

• Performance analysis: Consolidate, analyze, and interpret paid media data across channels (Paid Social, Paid Search, Programmatic, etc.) to identify trends, drivers, and improvement opportunities.
• Reporting: Lead the creation and enhancement of monthly performance reports, and executive summaries.
• Data quality: Monitor data quality issues and ensure compliance with global tracking and reporting guidelines.
• Insights & recommendations: Translate complex datasets into clear, business-oriented insights that support strategic and operational decisions.
• Automation: Leverage Python (and any other analytical tools) to automate data processing, improve workflows, and refine reporting logic.

Required Skills & Experience

• Strong analytical skills, with demonstrated experience using large datasets for performance analysis.
• Solid business acumen, able to connect data to marketing strategy and business impact.
• Strong technical skills, specifically on Python, for data manipulation, analysis, and automation. Proficiency with Excel and common data visualization tools (e.g., Power BI, Looker Studio, Datorama/SFMC Intelligence a plus).
• Understanding of Paid Media channels Paid Social, Search, Programmatic - or broader digital marketing performance.