Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Data Analyst

Harnham
London
4 weeks ago
Applications closed

Related Jobs

View all jobs

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst Python SQL

Lead Data Analyst Tableau

Lead data analyst digital

Lead Data Analyst - Hybrid

1 month ago Be among the first 25 applicants

Direct message the job poster from Harnham

Senior Recruitment Consultant - CRM, Data Strategy, Digital and Customer Insights at Harnham

LEAD DATA ANALYST

HYBRID – LONDON – 4 days a week in the office

THE COMPANY

This sports agency works with some amazing names in the industry across football, cricket, and motorsports, and now they are looking for a Lead Analyst!

THE ROLE

As a Lead Analyst, you can expect to be involved in the following:

  • Sitting within their analytics function, you will work closely with their strategy team, as well as engineers and data scientists
  • Delivering audits of sports businesses’ data to identify gaps and deliver insights
  • Creating bespoke analytics projects such as ticket pricing, segmentations, etc
  • Being hands-on with data and managing an analyst
  • Juggling 3-4 projects at a time

YOUR SKILLS AND EXPERIENCE

  • SQL experience is required
  • Dashboarding experience is needed
  • Experience working on bespoke analytics projects (segmentations, LTV, churn, pricing, etc)
  • Industry experience isn’t needed
  • GA4 experience is a plus
  • Passion needed for sports/scale-up environments

BENEFITS

  • Salary up to £80,000
  • Great opportunity to lead on big-name clients in sports
  • Plenty of opportunity to progress within the business

How to apply

Express your interest by sending your CV to Theo via the apply link on this page

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionAnalyst
  • IndustriesSpectator Sports and Advertising Services

Referrals increase your chances of interviewing at Harnham by 2x

Sign in to set job alerts for “Data Analyst” roles.

London, England, United Kingdom 4 days ago

Feltham, England, United Kingdom 5 days ago

Feltham, England, United Kingdom 5 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London Area, United Kingdom £35,000.00-£42,000.00 2 hours ago

London, England, United Kingdom 5 days ago

London Area, United Kingdom £50,000.00-£60,000.00 6 hours ago

London, England, United Kingdom 5 months ago

London, England, United Kingdom 22 hours ago

London, England, United Kingdom 7 hours ago

Greater London, England, United Kingdom 3 weeks ago

City Of London, England, United Kingdom £500.00-£597.00 4 days ago

London, England, United Kingdom 4 days ago

London Area, United Kingdom £35,000.00-£40,000.00 4 hours ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 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.