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Senior marketing analytics consultant

Leicester
Xcede
Analytics consultant
Posted: 12h ago
Offer description

Senior Marketing Analytics Consultant
UK remote / Outside IR35 / Interim

About the role
We are seeking a highly skilled Senior Marketing Analytics Consultant to take ownership of digital marketing reporting and analytics. This role will lead the development of a scalable reporting framework across all digital marketing channels, ensuring data accuracy, actionable insights, and effective decision-making.
Key Responsibilities
• Develop reporting infrastructure: Design and deliver dashboards and reporting systems covering paid search, social, display, email, and other digital channels.
• Data collection & validation: Ensure consistent, accurate data collection from multiple sources; resolve discrepancies across platforms.
• Define KPIs and metrics: Partner with senior stakeholders to align metrics with business goals, ensuring reports focus on impact.
• Data analysis & insight generation: Analyse campaign performance, channel efficiency, acquisition costs, and funnel conversion to provide recommendations.
• Automation: Build scalable reporting processes using Tableau (preferred) or equivalent tools (Metabase, Power BI, Google Data Studio, Looker).
• Cross-functional collaboration: Work with digital marketing, sales, and finance teams to support evolving reporting needs.
• Ad-hoc analysis: Deliver insights on marketing experiments, sales funnel dynamics, and competitive trends.
Requirements
• 6+ years’ experience in data analysis within digital marketing or eCommerce.
• Strong experience with Tableau (preferred)
• Proficiency in SQL and Excel.
• Experience building/managing pipelines in BigQuery or similar.
• Strong knowledge of digital marketing platforms (Google Analytics, Google Ads, Facebook Ads, CRM systems).
• Proven track record of building reporting and analytics frameworks from scratch.
• intermediate level Python – to build cloud functions and support on ML projects.
Preferred
• Familiarity with attribution models and multi-touch attribution.
• Knowledge of A/B testing principles and tools (e.g., Optimizely, VWO).
• Exposure to ML applications in marketing (e.g., scoring, modelling).

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