National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst

MacGregor Black
City of London
3 weeks ago
Create job alert

Data Analyst


Are you passionate about turning data into clear, actionable insights?


Do you enjoy working with a variety of tools to solve business challenges?


Ready to join a leading retailer where your work will make a tangible impact?


MacGregor Black is partnering with aLeading Retaileron the search for aData Analyst. This is a hybrid role based in theLondonarea.


AsData Analyst, you will be responsible for delivering data-driven insights across a wide range of datasets. Using tools such as Databricks, Tableau, Looker Studio, Amplitude, and DBT, you will extract, transform, and analyse data to support key business functions.

You will collaborate closely with stakeholders to understand their data needs, generate reports, and provide actionable insights that influence business decisions. Your remit will include analysing sales, customer, marketing, and operational data, as well as supporting digital analytics when required.


Key Responsibilities:


Data Extraction & Analysis

  • Write SQL queries in Databricks.
  • Support stakeholders with key business questions.
  • Handle ad-hoc and recurring data requests.
  • Validate data to ensure accuracy.
  • Use GitHub via VSCode to manage code repositories.


Delivering Insights & Reporting

  • Develop and maintain dashboards and reports (Tableau, Looker Studio).
  • Define KPIs and track business performance.
  • Present insights to stakeholders clearly and effectively.
  • 3. Supporting Digital Analytics & Marketing Data
  • Work with web analytics tools (Amplitude, Contentsquare, Medallia).
  • Integrate digital data with business datasets.
  • Support teams with self-serve analytics tools.


Performance Measurement & Business Support

  • Develop performance frameworks.
  • Identify trends and provide recommendations.
  • Assist with forecasting, target setting, and promotional analysis.


Data Governance & Optimisation

  • Conduct QA checks for data accuracy.
  • Improve data architecture and integrate new data sources.
  • Apply advanced analytics using SQL, Databricks, and other tools.


What are we looking for?


  • 2+ years’ experience in a similar role.
  • Strong analytical mindset with a passion for uncovering insights.
  • Skilled in SQL and data visualisation (Looker Studio, Tableau, Power BI).
  • Familiarity with Amplitude/Google Analytics/Adobe Analytics.
  • Strong Excel/Google Sheets skills.
  • Experience in commercial analysis (target building, forecast setting, promotional analysis).
  • Strong communication skills.
  • Awareness of digital marketing.
  • A Level/degree in Mathematics or STEM.
  • Knowledge of statistics.
  • Python experience for data analysis.
  • Hands-on experience with dbt.
  • Awareness of data governance best practices.


This is a hybrid role requiring at least three days per week onsite.

Salary: £40,000 – £45,000


For more information, please contactGabby Zachrissontoday.

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst Placement Programme

Data Analyst Placement Programme

Data Analyst Placement Programme

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.