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Director, Marketing Analytics

Job in Greenland, Rockingham County, New Hampshire, 03840, USA
Listing for: Remote
Full Time position
Listed on 2026-03-11
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Greenland

About Remote

Remote is solving modern organizations' biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world. You can find Remoters working from 6 different continents (Antarctica left to go!)

and all of our positions are fully remote.

What This Job Can Offer You

This is a pivotal time to join Remote and make a personal difference in the global employment space. As Director, Marketing Analytics, you are the bridge between our high-level growth strategy and our technical data stack. You will be responsible for building the frameworks that define how we measure success. You will be the architect of our data‑driven marketing engine. You will lead a team of analysts to transform raw data into actionable insights that optimize our marketing spend, improve customer acquisition, and drive long‑term retention.

We are looking for an experienced Marketing Analytics Director, who is able to help us deepen our funnel understanding, build robust measurement capabilities, bring to life an incrementality mindset, enhance forecast accuracy, build a ‘next best dollar’ capability, and build industry‑leading predictive models to help us better meet our customers’ needs and enhance the effectiveness of our spend.

What You Bring
  • Experience:

    10+ years in Marketing Analytics, Business Intelligence, or Data Science, with at least 3 years in a leadership role.
  • Expert-level Technical Stack Knowledge:
    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/Hub Spot).
    • Ability to use data to make decisions, think at scale, and implement repeatable processes.
  • Mathematical Prowess:
    Strong grasp of statistical concepts like significance testing, regression analysis, and experimental design (A/B testing).
  • Data Science Foundations:
    Deep understanding of statistical modelling, specifically as it applies to marketing (Bayesian methods for MMM, Random Forests for churn, etc.).
  • Industry Knowledge:
    Proven track record in SaaS or B2B marketing analytics, with knowledge of the Mar Tech Ecosystem:
    Expert understanding of signal loss — how iOS
    14+, cookie deprecation, and privacy regulations impact our ability to track and target.
  • Communication:
    Exceptional written and verbal communication skills; ability to explain complex technical solutions to non-technical stakeholders clearly.
  • Management:
    Proven track record of managing high-performing analysts and data scientists.
  • Mindset: A "bias toward action" and a passion for continuous improvement in a fluid, high-growth environment.
  • Language:
    Fluent English (written and spoken).
Key Responsibilities
  • Strategic Leadership:
    Develop the long-term vision for marketing analytics, ensuring data infrastructure supports business goals.
  • Measurement & Attribution:
    Design and manage sophisticated multi-touch attribution (MTA) models and Media Mix Modelling (MMM) to evaluate the effectiveness of all channels.
  • Predictive Intelligence:
    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.
  • Testing & Experimentation:
    Champion a test & learn culture. Design the roadmap for geo-holdout tests, A/B testing, and multivariate experiments to prove incrementality.
  • Budget Optimization:
    Partner with the growth team to allocate a multi-million dollar budget, using predictive modelling to maximize ROAS.
  • Customer Insights:
    Oversee cohort analysis, LTV (Lifetime Value) projections, and churn prediction models to deepen our understanding of the customer journey.
  • Dashboarding & Reporting:
    Build and maintain automated executive-level dashboards that provide real‑time visibility into KPI performance.
  • Stakeholder Influence:
    Act as a strategic advisor to the Performance, Brand, and Product Marketing leads,…
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