Develop the long-term vision for marketing analytics, ensuring data infrastructure supports business goals.
Design and manage sophisticated multi-touch attribution (MTA) models and Media Mix Modelling (MMM) to evaluate the effectiveness of all channels.
Shift the team from reactive reporting to predictive modelling.
Champion a test & learn culture. Design the roadmap for geo-holdout tests, A/B testing, and multivariate experiments to prove incrementality.
Partner with the growth team to allocate a multi-million dollar budget, using predictive modelling to maximize ROAS.
Oversee cohort analysis, LTV (Lifetime Value) projections, and churn prediction models.
Build and maintain automated executive-level dashboards that provide real-time visibility into KPI performance.
Act as a strategic advisor to the Performance, Brand, and Product Marketing leads.
Mentor and grow a team of marketing analysts.

10+ years in Marketing Analytics, Business Intelligence, or Data Science, with at least 3 years in a leadership role.
Expertise in SQL and Python/R for data manipulation.
Proficiency with visualization tools like Tableau, Looker, or Power BI.
Deep experience with Google Analytics 4, Google Tag Manager, and CRM data (Salesforce/HubSpot).
Strong grasp of statistical concepts like significance testing, regression analysis, and experimental design (A/B testing).
Deep understanding of statistical modelling, specifically as it applies to marketing.
Proven track record in SaaS or B2B marketing analytics.
Exceptional written and verbal communication skills; ability to explain complex technical solutions to non-technical stakeholders clearly.
Proven track record of managing high-performing analysts and data scientists.
A "bias toward action" and a passion for continuous improvement in a fluid, high-growth environment.
Fluent English (written and spoken).

Director, Marketing Analytics

Key skills