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. Lead the development of churn propensity models and lead scoring algorithms that directly feed into our automation platforms.
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 to deepen our understanding of the customer journey.
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, helping them use data to justify their budgets and pivot strategies in real-time.
Mentor and grow a team of marketing analysts, fostering a culture of curiosity and technical excellence.
Act as the liaison between Marketing, Data Engineering, Revenue Operations and Finance to ensure a single source of truth for marketing data.

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 (Bayesian methods for MMM, Random Forests for churn, etc.).
Proven track record in SaaS or B2B marketing analytics, with knowledge of the MarTech Ecosystem.
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