Director of Analytics

Scale Media

Director of Analytics leading and scaling data and analytics strategy at Scale Media. Overseeing marketing measurement, financial forecasting, and team mentorship in a fully remote environment.

Posted 7/27/2026full-timeRemote • 🇺🇸 United StatesLead💰 $180,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and executing analytics strategies that align with business goals, leveraging data, AI, and predictive analytics to drive performance. Proficient in managing analytics teams, financial forecasting, and marketing measurement methodologies to support data-driven decision-making.

Highest-signal resume keywords

Data Analytics LeadershipMarketing Measurement ExpertiseSQL and Python ProficiencyFinancial Forecasting and Unit EconomicsDashboard Design and BI Platform Management

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalyticsMarketing MeasurementRetention AnalyticsLTV ModelingChurn PredictionFinancial ForecastingSQLPythonMachine LearningPredictive Modeling

Soft Skills

Excellent CommunicationProject ManagementTeam LeadershipCollaborationMentoring

Tools & Technologies

SnowflakeTableauSigmaClaude CodeData Warehouse

Industry Keywords

DTCEcommerceData EngineeringBusiness StrategyAnalytics Tools

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Excellent Medical, Dental, Vision and Life insurance
Fully remote, full-time position
Monthly WFH stipend
Generous Paid Time Off program
Discounted Products