Senior Marketing Analytics & Data Scientist
New Today
Overview
We are seeking a highly skilled Senior Marketing Analytics & Data Scientist to join on a contract basis. This role is central to building a new reporting and analytics framework, with a strong emphasis on Tableau reporting and analysis. The successful candidate will design and automate dashboards, deliver actionable insights, and ensure marketing and sales data is accurate, consistent, and decision-ready. This is a hands-on role ideal for someone who thrives on creating reporting infrastructure from the ground up, and who can translate complex datasets into meaningful commercial insights.
Responsibilities
- Design, develop, and automate Tableau dashboards across digital marketing channels (Paid Media, Social, CRM, etc.).
- Partner with senior stakeholders to define KPIs and metrics aligned to business goals.
- Analyse campaign performance, channel ROI, sales funnel health, and customer acquisition trends.
- Ensure consistency, accuracy, and reliability of marketing and sales reporting data.
- Conduct ad-hoc analysis to support marketing experiments, attribution modelling, and performance optimisation.
- Contribute to future data projects, including media mix modelling, lead/session scoring, and pipeline optimisation.
Tech Stack
- Data stored in GCP (GA4, ad platforms, internal sources).
- BigQuery for querying.
- Google Cloud Functions for data ingestion.
- Reporting in Tableau (key focus for this role).
Qualifications
- 6+ years' experience in analytics or data science within digital marketing or eCommerce.
- Advanced proficiency in Tableau (dashboards, automation, and reporting).
- Strong skills in SQL and Excel.
- Knowledge of GA4, paid media platforms, CRM systems.
- Intermediate Python (for data ingestion and ML projects).
- Strong communication skills, with the ability to present insights to both technical and non-technical stakeholders.
- High attention to detail and a proactive problem-solving mindset.
- Location:
- City Of London
- Job Type:
- FullTime
- Category:
- Management & Operations, IT & Technology
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