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).