Director of Analytics

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Scale Media

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 2014

👥 B2C

🛍️ eCommerce

🧘 Wellness

B2C • eCommerce • Wellness

Scale Media ist eine Direct-to-Consumer digitale Markenplattform und ein Multi-Brand-Unternehmen, das Gesundheits-, Wellness- und Schönheitsprodukte entwickelt, vermarktet und verkauft. Das Unternehmen betreibt ein Portfolio von Marken, darunter 1MD Nutrition, Hair La Vie, Live Conscious, Tru Alchemy und Essential Elements, die Nahrungsergänzungen, Haarpflege-, und Hautpflegeprodukte anbieten, zusammen mit gesundheits- und fitnessbezogenen Inhalten und Tools. Scale betreibt die Scale Platform – eine integrierte Umgebung, die Produktentwicklung, Betrieb und digitales Marketing kombiniert, um das E-Commerce-Wachstum zu fördern und das Online-Kundenerlebnis zu verbessern.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

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