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Director, Marketing Analytics

Full TimeRemoteTeam 501-1,000H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

9 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

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