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- Tasks: Analyse Paid Marketing data to drive strategic insights and optimise performance.
- Company: Join Legend, a leading company in iGaming and Sports Betting with a vibrant culture.
- Benefits: Enjoy flexible work-life balance, competitive salary, and exciting global events.
- Why this job: Make a real impact by shaping marketing strategies with your analytical skills.
- Qualifications: Experience with Paid Marketing platforms and strong analytical skills required.
- Other info: Diverse team environment with opportunities for growth and development.
The predicted salary is between 30000 - 50000 £ per year.
About Legend
About Legend
We’re Legend. The team quietly building #1 products that make noise in the most competitive comparison markets in the world. iGaming. Sports Betting. Personal Finance.
We exist to build better experiences. From amplified career paths to supercharged online journeys — for our people and our users, we deliver magic rooted in method. With over 500 Legends and counting, we’re helping companies turbocharge their brand growth in over 18 countries worldwide.
If you’re looking for a company with momentum and the opportunity to progress at pace, Legend has it.
Unlock the Legend in you.
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 at talent@l1.com, and we\\\’ll do all we can to support you.
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Data Analyst - Paid Marketing employer: Legend
Contact Detail:
Legend Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Paid Marketing
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Legend on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for your interviews by diving deep into the company’s products and recent projects. Show us that you’re not just another candidate, but someone who genuinely cares about what we do at Legend.
✨Tip Number 3
Don’t underestimate the power of a follow-up! After your interviews, drop a quick thank-you note to express your appreciation and reiterate your enthusiasm for the role.
✨Tip Number 4
When it comes to the take-home task, showcase your analytical skills and creativity. We want to see how you think, so don’t be afraid to let your personality shine through!
We think you need these skills to ace Data Analyst - Paid Marketing
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data analysis! Share specific examples of how you've used data to drive decisions in previous roles. This will help us understand your genuine interest in the Data Analyst position.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to highlight relevant experience with Paid Marketing platforms and analytical tools. We want to see how your skills align with our needs, so don’t be shy about showcasing your expertise!
Be Clear and Concise: In your written application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that makes it easy for us to see your qualifications and potential fit for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the Legend team!
How to prepare for a job interview at Legend
✨Know Your Data Tools
Familiarise yourself with the Paid Marketing platforms mentioned in the job description, like Google Ads and Meta Ads. Be ready to discuss how you've used these tools in your previous roles and how they can be leveraged for data analysis.
✨Showcase Your Analytical Skills
Prepare to demonstrate your SQL and analytical methodology skills. Bring examples of past projects where you’ve used data to inform strategy or improve performance, and be ready to explain your thought process clearly.
✨Communicate Clearly
Practice translating complex data insights into simple, actionable recommendations. The interviewers will want to see that you can communicate effectively with non-technical stakeholders, so think of ways to simplify your explanations.
✨Engage with Stakeholders
Think about how you would collaborate with different teams within the organisation. Be prepared to discuss how you would approach translating business challenges into analytical solutions, as this is key to the role.
