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Digital Analyst

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Transformuk
Full Time position
Listed on 2026-06-10
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Digital Analyst

Department: Data:
Analytics

Employment Type: Permanent - Full Time

Location: London, UK

Description

About us

We're Transform.

Transform is a fresh alternative to Big Consulting. As an end-to-end transformation partner, we define, design, build and operate systems that solve our clients' toughest challenges and seize their biggest opportunities. That often means combining strategy, data, AI, technology, and change management. Sometimes we manage and operate the systems we create; other times, we hand it over for the client to run – standing by to make improvements when things change.

It all comes down to making an impact: improving lives, supporting citizens, streamlining workflows, and making the world a better place. We specialise in public sector and public-facing organisations—from government agencies and local authorities to energy, utilities, transportation and healthcare. We also work for some of the world’s most dynamic brands across automotive, retail, financial services, and consumer goods. We work closely (often on site) with our clients;

to deliver impact you are keen to help us build the workforce of the future, we should talk.

We’re all in! That's what gets us out of bed every day. We hope you feel the same.

The Role:

Digital Analyst

We turn data and tech into competitive advantage and social impact for the world's most complex organisations, both public and private. Not every day is the same and you will be able to work on knotty problems at the intersection of digital performance and product analytics turning data into insight, and insight into better products, decisions, and outcomes.

Key Responsibilities
  • Use Google Analytics (GA4) and Google Tag Manager to support digital analytics queries, including setting up and validating event tracking across web and product surfaces
  • Perform ad-hoc data extractions and analysis across digital and product data sources using SQL, building analysis-ready tables that answer client and internal queries at pace
  • Analyse product usage data feature adoption, user journeys, retention and churn signals
  • Connect digital acquisition data to product engagement metrics, building the analytical thread from first touchpoint through to long-term user value
  • Support BI and reporting deliverables building and maintaining dashboards in Looker, Tableau or Power BI that serve both digital and product stakeholders
  • Design and evaluate A/B tests and experiments across digital and product surfaces, bringing statistical rigour to decisions that are currently made on instinct
  • Work collaboratively within the analytics team supporting QA of code and analysis outputs, sharing knowledge, and contributing to a culture of high analytical standards
  • Contribute to the team's knowledge management infrastructure, including documentation of analytical approaches and outputs in shared systems
Skills, Knowledge and Expertise
  • Good hands‑on analytics experience across digital and/or product disciplines, with evidence of working across multiple data sources and client or stakeholder environments
  • Strong experience of Google Analytics (GA4) and Google Tag Manager for digital measurement and tracking experience or equivalent also considered
  • Confident SQL skills able to independently query, extract and shape large, unstructured datasets without relying on a data engineer for routine requests
  • Excellent business problem‑solving skills a track record of developing creative analytical solutions and telling a clear, convincing story with data that drives commercial decisions
  • Strong communication and presentation skills able to translate analytical findings clearly for both technical and non-technical audiences, from engineering teams to senior stakeholders
  • Structured and methodical working practices rigorous about QA, documentation and reproducibility; picks up new tools, data environments and analytical contexts quickly
  • Understanding of commercial context able to connect analytical outputs to business value, and frame recommendations in terms of impact rather than just insight
  • Collaborative team player good interpersonal skills, comfortable supporting colleagues with QA and peer review, and willing…
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