Data Analyst - Paid Marketing

Legend; England; On-site; GBP 40,000 - 50,000; Full time

Job summary

A leading sports marketing company is seeking a Data Analyst to enhance Paid Marketing strategies by optimizing dashboards and providing insightful analyses. This role entails collaboration with data leaders and requires strong skills in SQL, Paid Marketing platforms, and BI tools like Tableau or Power BI. The ideal candidate will leverage data to shape strategic decisions and drive innovation in marketing analytics. Opportunities for growth, competitive pay, and a flexible working environment are offered.

Benefits

Annual discretionary bonus

Paid annual leave

Long term incentive plan

Development opportunities

Work-life balance flexibility

Qualifications

• Hands-on experience with Paid Marketing platforms.
• Strong knowledge of SQL and statistics.
• Ability to inform strategy through data.

Responsibilities

• Optimize Paid Marketing dashboards for efficiency.
• Aggregate and analyze data to guide recommendations.
• Evaluate market trends for growth opportunities.

Skills

Paid Marketing expertise

SQL knowledge

Statistical analysis

Business Intelligence tools

Excellent communication

Tools

Tableau

Power BI

Google Ads

Meta Ads

Job description

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.