Data Analyst - Paid Marketing

Legend
London
3 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

About Legend

At Legend, we're building next-level player experiences. With 20+ years of proven success we’re the world's leading Sports and Gaming marketing company.

Our people are our edge. 600+ sharp, ambitious Legends across 22+ countries who move fast, learn quickly and win together. Here growth isn’t a perk, it’s the standard. You’ll stretch, level-up and carve out a career as bold as the products we build. We celebrate wins and create experiences that people talk about for years - for our players & for each other. If you’re ready to shape the future of player experience and enjoy the ride while you do it, this is where you’ll thrive.

The Role

Legend is hiring a Data Analyst in our Paid Marketing team, reporting to our Senior Data Product Manager.

This role sits within our Paid Marketing team and works closely with our Data and Analytics function - collaborating with data leaders, analysts, data platform engineers, and data scientists. You’ll focus on our Paid Marketing data, partnering with key stakeholders across Paid Marketing Leadership and the Paid Media team.

You’ll take ownership of analytical projects that span from creating insightful dashboards and reports to developing complex analytical solutions that draw on your Python knowledge. The insights you generate will directly shape our strategic direction, making your work both highly visible and genuinely impactful across the organisation.

In this role, we value diverse perspectives and encourage you to apply even if you don't meet every qualification listed.

Your Impact

  • Optimise and evolve Paid Marketing dashboards and reporting to enhance visibility, efficiency, and decision-making.
  • Aggregate and analyse data from multiple sources to uncover insights, inform strategy, and guide data-driven recommendations.
  • Evaluate Paid Marketing performance and market trends to identify and prioritise high-impact growth opportunities.
  • Review and refine Paid Marketing KPIs to ensure strong alignment with organisational goals and strategic priorities.
  • Collaborate with stakeholders to translate complex business challenges into robust analytical solutions that deliver actionable insights.
  • Drive innovation within Paid Marketing analytics by applying up-to-date analytical techniques and best practices.

What You'll Bring

  • Hands-on experience with Paid Marketing platforms such as Google Ads, Meta Ads, and programmatic tools.
  • Strong knowledge of SQL, statistics, and analytical methodologies, with experience using BI tools like Tableau or Power BI.
  • Solid understanding of core Paid Marketing metrics and concepts (CPC, CPM, ROAS, etc.) and how to apply them in practice.
  • Proven ability to use data to inform strategy, measure performance, and guide decision-making through testing, analysis, and benchmarking.
  • Skilled at translating complex analytical insights into clear, actionable recommendations for non-technical stakeholders.
  • Excellent communication and collaboration skills, with a focus on clarity, impact, and business alignment.

The Interview Process

  • 1st: Initial Chat with Talent Partner (30 mins via Zoom)
  • 2nd: Interview with our Senior Data Product Manager (1 hour video via Zoom)
  • 3rd: Take home task - you will be given 5 days to complete the task before presenting it back to our Head of Paid Marketing and CMO (1 hour video via Zoom)

Why Legend?

  • Super smart colleagues to work alongside and learn from.
  • Engaging development opportunities at all levels.
  • Tailored flexibility for your work-life balance.
  • Annual discretionary bonus to reward your efforts.
  • Paid annual leave PLUS a well-deserved break to recharge your batteries during the festive season! Our offices are closed between Christmas and New Year's, allowing you to enjoy downtime without dipping into your annual allowance.
  • Long term incentive plan so we can all share in the growth and success of Legend.
  • Exciting global Legend events, where we unite in person to ignite our shared passion and unveil the exciting strategies for the year ahead!

Unlock your full potential by joining the Legend team. To support you on this journey, we provide an extensive array of benefits and perks, as outlined in our global offerings above. For country specific benefits please reach out to your talent partner.

Legend is an Equal Opportunity Employer, but that’s just the start. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to hiring and developing the most talented and diverse team- which includes individuals with different backgrounds, abilities, identities and experiences. If you require any reasonable adjustments throughout your application process, please speak to your Talent Partner or contact the team on  [email protected] , and we'll do all we can to support you.

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 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.