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# Data Consultant

- **Company:** Harnham
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £62,400.0 - £83,200.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Customer Data Management, Google Analytics, Python (Programming Language), Power BI, Standard Sql, SQL Databases, Tableau (Software), Web Performance Optimization, Google Tag Manager, Google Data Studio
- **Published:** September 3, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-consultant/57302323

## About the Role

* Strong experience building and maintaining dashboards and reports in Looker Studio.
 * Proven ability to interpret paid media, digital marketing and website performance data.
 * Practical capability using Python and SQL for data analysis and reporting.
 * Experience cleaning, validating and analysing customer data to generate business insight.
 * Exposure to CRM datasets and customer analytics projects.
 * Strong communication skills, with the ability to explain technical concepts to non-technical audiences.
 * Comfortable working autonomously and managing priorities across multiple projects.
 * Experience with GA4 and/or Google Tag Manager is beneficial.
 * Familiarity with BI tools such as Power BI or Tableau is advantageous.
 * Previous experience working within education or similar client environments would be welcomed.

Skills

 * Digital Marketing Analytics
 * Looker Studio
 * CRM Data Analysis
 * Customer Analytics
 * Data Analysis
 * Python
 * SQL
 * Paid Media Analytics
 * Website Performance Analysis
 * Reporting & Dashboarding

## Description

This is an excellent opportunity for a Freelance Data Consultant to join a specialist data and analytics consultancy on a reporting-focused contract. The assignment offers a mix of dedicated client ownership and broader project exposure, making it ideal for someone who enjoys independent working while delivering meaningful insight across multiple stakeholder groups., * Analyse paid media, website and campaign performance data to identify trends and provide actionable insights.

 * Clean, interrogate and analyse customer data to support business decision-making.
 * Use SQL and Python to extract, manipulate and analyse large datasets.
 * Support reporting and analytical deliverables across a range of client projects.
 * Present insights and recommendations to client stakeholders, translating technical findings into clear business outcomes.


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