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Director, Marketing Analytics
Location
United States
Posted
4 hours ago
Salary
$76.5K - $215.2K / year
10 yrs expEnglishPythonSQLTableau
Job Description
• 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.
Job Requirements
- 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).
Benefits
- work from anywhere
- flexible paid time off
- flexible working hours (we are async)
- 16 weeks paid parental leave
- mental health support services
- stock options
- learning budget
- home office budget & IT equipment
- budget for local in-person social events or co-working spaces