Data Analyst

Harnham - Data & Analytics Recruitment
London, United Kingdom
Today
£48,000 – £50,000 pa

Salary

£48,000 – £50,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Posted
30 Apr 2026 (Today)
Share
Save job
Create job alert

Data Analyst

This is a great opportunity to join a growing data and analytics consultancy where you will work closely with clients to turn complex data into clear, commercial insight. The role offers variety, responsibility, and genuine exposure to decision makers across multiple industries, making it ideal for an analyst who enjoys both hands on delivery and client engagement.

The Company
We are a data and analytics consultancy that combines large scale proprietary data with advanced analytics and insight delivery. We develop and maintain our own data and analytics products, supporting clients with customer insight, predictive modelling, and commercial decision making. Our work spans sectors including energy, financial services, charities, and consumer brands.

The Role

  • Work directly with clients to understand business challenges and define analytical requirements
  • Lead data discovery, exploration, and analysis across multiple datasets
  • Analyse complex data to create meaningful insight
  • Build reports and dashboards that clearly communicate findings to stakeholders
  • Present insights and recommendations, translating technical analysis into commercial outcomes
  • Contribute to a range of projects including customer behaviour analysis, segmentation, revenue and collections analytics, and data maturity initiatives

Your Skills & Experience

  • Strong commercial experience in a data or analytics role, ideally within a consultancy or client facing environment
  • Advanced SQL skills and confidence working with complex, real world datasets
  • Experience using Python for analysis and data transformation
  • Experience with Power BI or similar dashboarding tools
  • Ability to work independently, manage ambiguity, and ask the right questions
  • Strong communication skills with confidence engaging stakeholders

What We Offer

  • Exposure to varied clients, industries, and analytical challenges
  • A supportive environment with access to data science, engineering, and project delivery expertise

Related Jobs

View all jobs

Data Analyst

Harnham - Data & Analytics Recruitment London, United Kingdom
£48,000 – £50,000 pa On-site

Data Analyst

Grove Talent Solutions Chippenham, United Kingdom
£28,000 – £35,000 pa On-site

Data Analyst

Lynx Recruitment London, United Kingdom
£40,000 – £65,000 pa On-site

Data Analyst

Sagacity London, United Kingdom
£40,000 – £60,000 pa Hybrid

Data Analyst

Healix Esher, United Kingdom

Data Analyst

Jackson Hogg Newton Aycliffe, United Kingdom

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.

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

🍪 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.