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.