Data Analyst Paid Marketing

Legend; Greater London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A dynamic tech company in Greater London is seeking a Data Analyst for their Paid Marketing team. This role involves optimizing dashboards, analyzing data, and collaborating with stakeholders to drive data-informed strategies. Ideal candidates should have experience with marketing platforms, strong SQL and BI tool proficiency, and the ability to translate complex insights into actionable recommendations. This full-time position offers a vibrant workspace and opportunities for professional development.

Benefits

Annual discretionary bonus

Paid annual leave plus festive downtime

Tailored work-life balance opportunities

Work-life balance flexibility

Qualifications

• Experience with Paid Marketing platforms such as Google Ads and Meta Ads.
• Proficient in SQL and BI tools like Tableau or Power BI.
• Ability to translate analytical insights into actionable recommendations.

Responsibilities

• Optimize Paid Marketing dashboards and reports.
• Analyze data from multiple sources to uncover insights.
• Align Paid Marketing KPIs with organizational goals.

Skills

Data Analytics

SQL

Power BI

Data Visualization

Tableau

Data Management

Tools

Google Ads

Meta Ads

Microsoft Access

Microsoft Access

Job description

About Legend

About Legend

Were 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 were helping companies turbocharge their brand growth in over 22 countries worldwide.

If youre 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. Youll focus on our Paid Marketing data partnering with key stakeholders across Paid Marketing Leadership and the Paid Media team.

Youll 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 dont 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 Youll 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 :

1. 1st : Initial Chat with Talent Partner (30 mins via Zoom)
2. 2nd : Interview with our Senior Data Product Manager (1 hour video via Zoom)
3. 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 Years 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 thats just the start. We believe different perspectives help us grow and achieve more. Thats why were 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 emailprotected and well do all we can to support you.

Required Experience :

IC

Key Skills

Data Analytics,Microsoft Access,SQL,Power BI,R,Data Visualization,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics

Employment Type :

Full-Time

Experience :

years

Vacancy :

1