Marketing Data Analyst

Marketing AdTech Data Analyst

Location: London (hybrid 3 days per week onsite)Contract: 12 months, up to £425pd inside IR35

Our client is looking for a highly skilled Data Analyst to join a fast-paced ad-tech environment supporting data-driven marketing and advertising initiatives. This role is ideal for someone who thrives at the intersection of analytics, marketing strategy and technical execution, with strong hands-on experience in Tableau, SQL and Python.

You'll work closely with global stakeholders across Marketing, Sales, Engineering and external data partners to deliver insights, optimise campaign performance and shape go-to-market strategies for digital advertising products.

What You'll Do:

• Deliver custom insights and analytics to support marketing and sales objectives.
• Build and maintain Tableau dashboards and reports to track KPIs, campaign performance and user engagement.
• Develop and maintain ETL pipelines using SQL and Python.
• Translate business needs into analytical requirements, communicating findings with clarity and impact.
• Conduct data analysis and A/B testing to measure the effectiveness of marketing initiatives.
• Contribute to scalable reporting solutions, data transformation and automation strategies.

What You'll Bring:

• Professional experience in marketing analytics, data science or similar.
• Proven expertise with Tableau (or similar tools such as PowerBI).
• Advanced programming skills in SQL and Python for data transformation and analysis.
• Experience with web analytics tools (e.g. Adobe Analytics).
• Familiarity with data warehousing and database modeling (Snowflake experience a plus).
• Strong communication and presentation skills, with the ability to explain complex data simply.
• Self-starter with a commercial mindset and a drive for continuous improvement.
• Background in ad-tech or digital marketing platforms is highly desirable, as well as experience working with external data partners to enhance ad targeting.
• Familiarity with automated data ingestion, APIs and marketing data pipelines.