Digital Data Analyst

Harnham
Burton upon Trent
3 weeks ago
Applications closed

Related Jobs

View all jobs

Digital Data Analyst

Data Analyst (Social listening) - Social/ Creative agency

Digital and IT Intern- Data Science

Senior Manager Marketing Data & Insights Strategy

Data Analyst

Data Analyst

Digital Data Analyst – Up to £45,000

Burton Upon Trent – Hybrid (1-2 days per week in office)

A growing analytics team is hiring aDigital Data Analystto optimize web performance, track user behavior, and provide real-time insights across 80+ websites. This is a hands-on role, working withSQL, GA4, Looker, Power BI, and Excelto assess data quality, debug tracking issues, and generate reports that drive key business decisions.

The Company

A well-established brand in thehospitality sector, operating over2,600 pubs, restaurants, and hotels across the UK. Their digital analytics function is expanding to enhancewebsite performance, customer journeys, and marketing effectiveness.

The analytics team is structured into four key areas:

  • Digital– Website and app reporting, deep-dive analysis, and future planning
  • CRM– Customer database management, campaign analysis, and reporting
  • Loyalty & Customer Insights– Understanding and segmenting customer behavior
  • Data Science & Engineering– Supporting analytics efforts and proving business value

The Role

As aDigital Data Analyst, you will be responsible for website performance analytics, ensuring high-quality data reporting and debugging tracking issues. You will provide valuable insights that enhance the customer experience and improve conversion rates.

Key Responsibilities:

  • Ensure data quality and debug tracking issues for web analytics tools such as GA4, Looker, and Power BI
  • Extract, assess, and report on website data, delivering actionable insights
  • Work with SQL to manipulate and analyze datasets
  • Build automated dashboards and reports to track website performance
  • Support conversion rate optimization (CRO) initiatives by identifying drop-off points in customer journeys
  • Work with marketing and product teams to optimize digital campaigns and user experiences

Your Skills and Experience

The ideal candidate is a web analytics professional with strong technical expertise and the ability to turn data into insights.

Essential:

  • Strong SQL skills with experience in extracting and transforming web data
  • Experience with GA4 (Google Analytics), Looker, and Power BI
  • Understanding of website tracking, tag debugging, and data validation
  • Proficiency in Excel for manual reporting where necessary
  • Ability to interpret data trends and make recommendations

Nice to Have:

  • Experience with Microsoft Clarity
  • Knowledge of CRO and website optimization strategies
  • Background in Adobe Analytics (not required but beneficial)

The Benefits

  • Salary up to £45,000
  • Hybrid working with 1-2 days per week in Burton Upon Trent
  • Exposure to a high-growth analytics function
  • Collaboration with Data Science, CRM, and Marketing teams
  • Strong career progression opportunities

How to Apply

Please register your interest by sending your CV toMohammed Buhariwalaat Harnham via the Apply link on this page.

Key Terms

Digital Analyst, Web Analytics, SQL, GA4, Google Analytics, Looker, Power BI, Microsoft Clarity, Data Visualization, CRO, Dashboarding, Reporting, Data Science, Customer Insights, Tag Debugging, Conversion Rate Optimization, Hospitality Analytics, Burton Upon Trent, Hybrid Work.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers Jobs

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.

Jobs

Machine Learning vs. Deep Learning vs. MLOps Jobs: Which Path Should You Choose?

Machine Learning (ML) continues to transform how businesses operate, from personalised product recommendations to automated fraud detection. As ML adoption accelerates in nearly every industry—finance, healthcare, retail, automotive, and beyond—the demand for professionals with specialised ML skills is surging. Yet as you browse Machine Learning jobs on www.machinelearningjobs.co.uk, you may encounter multiple sub-disciplines, such as Deep Learning and MLOps. Each of these fields offers unique challenges, requires a distinct skill set, and can lead to a rewarding career path. So how do Machine Learning, Deep Learning, and MLOps differ? And which area best aligns with your talents and aspirations? This comprehensive guide will define each field, highlight overlaps and differences, discuss salary ranges and typical responsibilities, and explore real-world examples. By the end, you’ll have a clearer vision of which career track suits you—whether you prefer building foundational ML models, pushing the boundaries of neural network performance, or orchestrating robust ML pipelines at scale.

Careers

Machine Learning Programming Languages for Job Seekers: Which Should You Learn First to Launch Your ML Career?

Machine learning has swiftly become a cornerstone of modern technology, transforming entire industries—healthcare, finance, e-commerce, and beyond. As a result, demand for machine learning engineers, data scientists, and ML researchers continues to surge, creating a rich landscape of opportunity for job seekers. But if you’re new to the field—or even an experienced developer aiming to transition—the question arises: Which programming language should you learn first for a successful machine learning career? From Python and R to Scala, Java, C++, and Julia, the array of choices can feel overwhelming. Each language boasts its own community, tooling ecosystem, and industry use cases. This detailed guide, crafted for www.machinelearningjobs.co.uk, will help you align your learning path with in-demand machine learning roles. We’ll delve into the pros, cons, and ideal use cases for each language, offer a simple starter project to solidify your skills, and provide tips for leveraging the ML community and job market. By the end, you’ll have the insights you need to confidently pick a language that catapults your machine learning career to new heights.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.