Director of Analytics

Scale Media•,

3d•$180,000 - $220,000•Remote

About The Position

Scale Media is seeking a Director of Analytics to lead and scale the data and analytics function across the company. This senior leadership role reports to the VP of Growth and is responsible for the end-to-end analytics strategy, covering marketing measurement, financial forecasting, retention, and inventory analytics. The role involves turning data into actionable decisions across marketing, growth, finance, and operations. This is a hands-on leadership position in a marketing-driven Direct-to-Consumer (DTC) business. The Director will set the vision for how Scale measures and grows its brands, including quantifying marketing incrementality, forecasting business performance, modeling unit economics, and predicting customer value. Key responsibilities include leading the analytics organization, managing the Manager, Data Analytics, and defining and overseeing the data engineering roadmap. A strong emphasis is placed on data accuracy and consistency.

Requirements

8+ years of experience in data analytics, with progressive leadership experience managing analytics teams, including managing managers.
Proven track record owning end-to-end analytics for a marketing-driven or DTC/ecommerce business.
Deep expertise in marketing measurement — experimentation, incrementality, MMM, and MTA — and the statistics behind them.
Experience with retention analytics, LTV modeling, and churn/contribution-margin prediction.
Financial forecasting and unit-economics modeling experience, including setting marketing targets from unit economics and growth goals.
Strong hands-on technical skills: SQL and Python, data modeling, and ML/predictive modeling.
Fluency with Claude Code (or comparable AI coding tools) for data manipulation and analytics.
Experience with a modern data stack (e.g., Snowflake) and DTC source data (e.g., Shopify, Amazon).
Experience maintaining a BI platform and designing dashboards and visualizations (e.g., Tableau, Sigma).
Experience defining a data engineering roadmap and partnering with or overseeing data engineers.
An obsession with data accuracy and consistency.
Experience partnering with executive stakeholders to translate data into business strategy.
Excellent communication skills, with the ability to present complex data to non-technical audiences.
Experience working in sprints with strong project management discipline.

Nice To Haves

Strategic thinker who can also roll up their sleeves and execute
Data-driven and technical, with an AI-first approach
Strong people leader who builds, mentors, and grows talent
High degree of ownership and a self-starter mentality
Excellent cross-functional communicator who can influence at the executive level
Comfortable operating and prioritizing in a fast-paced, fully remote environment

Responsibilities

Develop and own Scale's companywide analytics strategy, aligned with overall business goals.
Partner with executive leadership and cross-functional departments to understand their data needs and ensure analytics solutions support their objectives.
Identify opportunities to leverage data, AI, and predictive analytics to improve business performance and decision-making.
Own Scale's marketing measurement framework, including experimentation design (lift/geo testing), incrementality, MMM, and MTA, and the statistical methodologies that underpin them.
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 analysis-ready.
Bring deep familiarity with paid and owned marketing channels and their associated metrics and analytical approaches.
Build and own financial forecasts for a marketing-driven business.
Model unit economics (CAC, LTV, payback, margin) and set marketing targets grounded in those economics and our growth goals.
Partner with finance and growth to connect spend, revenue, and profitability into a single, trustworthy view.
Lead, manage, and mentor the analytics organization, including direct management of our Manager, Data Analytics, and indirect oversight of the broader analyst team.
Define and oversee the data engineering roadmap, setting priorities and standards for the pipelines and infrastructure that power our analytics.
Set clear goals, priorities, and professional development plans for the team, fostering a data-driven and collaborative culture.
Provide guidance on best practices, methodologies, data structure, and tooling across the function.
Own our data architecture, working across our data warehouse (e.g., Snowflake) and source systems (e.g., Shopify, Amazon) to ensure data is accurate, reliable, and well-structured.
Apply statistical methods, machine learning, and predictive modeling to generate forward-looking insights.
Implement and maintain the analytics tools and platforms that support data-driven decision-making company-wide.
Develop and deliver regular companywide reporting on key performance indicators (KPIs) for executive leadership.
Design and build dashboards and visualizations (e.g., Tableau, Sigma) that translate complex data into clear, actionable insights.
Establish reporting frameworks that ensure data accuracy and consistency across the business, including some 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 to non-technical stakeholders and executive leadership in a clear, compelling manner.
Run the function in sprints, with tight project management and clear prioritization against quarterly goals.