Director of Analytics

Scale Media•,

7d•$180,000 - $220,000•Remote

About The Position

Scale Media is hiring a Director of Analytics to lead and scale its data and analytics function. Reporting to the VP of Growth, this senior leadership role owns the end-to-end analytics strategy across marketing measurement, financial forecasting, retention, and inventory analytics, and turns data into decisions across marketing, growth, finance, and operations. The role combines hands-on analytics work with leadership of the analytics organization, including direct management of the Manager, Data Analytics and indirect oversight of the broader analyst team. It also defines and oversees the data engineering roadmap and emphasizes accurate, consistent data. The Director will establish how Scale Media measures and grows its brands, including marketing incrementality, business forecasting, unit economics, and customer value. Responsibilities span marketing measurement and modeling, financial analytics, team leadership, data architecture, advanced analytics, reporting, and cross-functional execution. The position is fully remote and full-time.

Requirements

At least 8 years of experience in data analytics, with progressive leadership experience managing analytics teams, including managers.
Proven experience owning end-to-end analytics for a marketing-driven or DTC/ecommerce business.
Deep expertise in marketing measurement, including experimentation, incrementality, MMM, MTA, and the statistics behind them.
Experience with retention analytics, LTV modeling, and churn or contribution-margin prediction.
Experience with financial forecasting and unit-economics modeling, including setting marketing targets from unit economics and growth goals.
Strong hands-on technical skills in SQL and Python, data modeling, and machine learning or predictive modeling.
Fluency with Claude Code or comparable AI coding tools for data manipulation and analytics.
Experience with a modern data stack, such as Snowflake, and DTC source data, such as Shopify and Amazon.
Experience maintaining a BI platform and designing dashboards and visualizations, such as Tableau or Sigma.
Experience defining a data engineering roadmap and partnering with or overseeing data engineers.
Strong commitment to data accuracy and consistency.
Experience partnering with executive stakeholders to translate data into business strategy.
Excellent communication skills, including presenting complex data to non-technical audiences.
Experience working in sprints with strong project management discipline.
Strategic thinking combined with the ability to execute hands-on.
A data-driven, technical approach and an AI-first mindset.
Strong people leadership skills, including building, mentoring, and developing talent.
High ownership and a self-starter mentality.
Excellent cross-functional communication and ability to influence at the executive level.
Comfort operating and prioritizing in a fast-paced, fully remote environment.

Responsibilities

Develop and own the companywide analytics strategy, aligned with business goals.
Partner with executive leadership and cross-functional departments to understand data needs and ensure analytics solutions support their objectives.
Identify opportunities to use data, AI, and predictive analytics to improve business performance and decision-making.
Own the marketing measurement framework, including experimentation design such as lift and geo testing, incrementality, MMM, MTA, and supporting statistical methodologies.
Build and maintain retention analytics and LTV models, including churn and contribution-margin prediction.
Manage the marketing data pipeline end to end, ensuring channel data is complete, accurate, and ready for analysis.
Build and own financial forecasts for a marketing-driven business.
Model unit economics, including CAC, LTV, payback, and margin, and set marketing targets based on unit economics and growth goals.
Partner with finance and growth to connect spend, revenue, and profitability in a single trustworthy view.
Lead, manage, and mentor the analytics organization, including direct management of the Manager, Data Analytics and indirect oversight of the broader analyst team.
Define and oversee the data engineering roadmap, setting priorities and standards for analytics pipelines and infrastructure.
Set team goals, priorities, and professional development plans, and foster a data-driven, collaborative culture.
Guide best practices, methodologies, data structure, and tooling across the function.
Own data architecture across the data warehouse and source systems, ensuring data is accurate, reliable, and well-structured.
Apply statistical methods, machine learning, and predictive modeling to generate forward-looking insights.
Implement and maintain analytics tools and platforms that support companywide data-driven decision-making.
Develop and deliver regular companywide KPI reporting for executive leadership.
Design and build dashboards and visualizations that make complex data clear and actionable.
Establish accurate and consistent reporting frameworks across the business, including inventory and operations analytics.
Partner with marketing, growth, finance, IT, and operations to translate business questions into data solutions.
Communicate data-driven insights and recommendations clearly and compellingly to non-technical stakeholders and executive leadership.
Run the function in sprints, applying tight project management and prioritization against quarterly goals.