Data Analyst - Paid Marketing

Legend Corp; City of London; On-site; GBP 30,000 - 40,000; Full time

Job summary

A leading software development company in the City of London is seeking a Data Analyst for the Paid Marketing team. You will optimize dashboards, analyze data, and collaborate with stakeholders to drive data-driven marketing strategies. The ideal candidate has hands-on experience with Google Ads, SQL, and analytical methodologies. Join us to unlock your full potential and develop your career in a dynamic work environment.

Benefits

Annual discretionary bonus

Paid annual leave

Flexible work-life balance

Long-term incentive plan

Qualifications

• Hands-on experience with Paid Marketing platforms such as Google Ads and Meta Ads.
• Strong knowledge of SQL, statistics, and analytical methodologies.
• Solid understanding of core Paid Marketing metrics like CPC and ROAS.

Responsibilities

• Optimise and evolve Paid Marketing dashboards for better decision-making.
• Aggregate and analyse data to uncover insights for strategy.
• Evaluate performance to identify high-impact growth opportunities.

Skills

Google Ads

Meta Ads

SQL

Tableau

Power BI

Statistical analysis

Job description

Join to apply for the Data Analyst - Paid Marketing role at 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 550 Legends and counting, we’re helping companies turbocharge their brand growth in over 22 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 Paid Marketing and works closely with our Data and Analytics function — collaborating with data leaders, analysts, data platform engineers, and data scientists. You’ll focus on 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 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‑including 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.

Seniority level

Entry level

Employment type

Full‑time

Job function

Information Technology

Industries

Software Development