Senior Data Analyst - Contract
Marketing Agency
London - Hybrid
£350-£400 per day - Inside IR35
Great contract opportunity with a Marketing Agency who are looking for a Senior Data Analyst / Marketing Analyst to support one of their key clients on a high-impact project focused on marketing channel performance and statistical analysis.
This is a role for someone who loves getting into the data - and knows how to turn complex insights into clear, actionable recommendations for marketing teams.
Role & Responsibilities
* Statistical analysis of marketing performance across paid, organic, CRM, online and offline channels
* Building and running A/B tests (on features, audiences, or channels) and translating the results into business recommendations
* Running regression analysis, forecasting, and presenting insights to non-technical stakeholders
* Post-campaign analysis and reporting - helping clients understand what worked and what didn't
* Working closely with GA4 data, Excel data extracts, and slicing/dicing data using Python
Skills & Experience
* Strong experience with Google Analytics 4 (GA4)
* Proficient in Python - particularly for data wrangling, statistical testing (T-tests, etc.), and data analysis
* Comfortable working with Excel as a data source (data manipulation and cleaning)
* Experience with BI tools - Power BI preferred, but Tableau or Looker are also fine
* Solid grasp of marketing concepts - understanding how paid, organic, CRM channels work and how to optimise them
* Proven ability to present data-driven stories to non-technical audiences
Benefits
£350-£400 per day, inside IR35, London, 2-3 days in the office
How to Apply
Register your interest by sending your CV to Lloyd Dunstall via the Apply link on this page
Senior Analyst / Statistics / AB Tests / GA4 / Python / Marketing Analytics
Desired Skills and Experience
Role & Responsibilities
Statistical analysis of marketing performance across paid, organic, CRM, online and offline channels
Building and running A/B tests (on features, audiences, or channels) and translating the results into business recommendations
Running regression analysis, forecasting, and presenting insights to non-technical stakeholders
Post-campaign analysis and reporting - helping clients understand what worked and what didn't
Working closely with GA4 data, Excel data extracts, and slicing/dicing data using Python
Skills & Experience
Strong experience with Google Analytics 4 (GA4)
Proficient in Python - particularly for data wrangling, statistical testing (T-tests, etc.), and data analysis
Comfortable working with Excel as a data source (data manipulation and cleaning)
Experience with BI tools - Power BI preferred, but Tableau or Looker are also fine
Solid grasp of marketing concepts - understanding how paid, organic, CRM channels work and how to optimise them
Proven ability to present data-driven stories to non-technical audiences