Scale Media Inc

HQ
Los Angeles
185 Total Employees
Year Founded: 2014

Jobs at Scale Media Inc

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5 Days AgoSaved
In-Office
Burbank, CA, USA
Digital Media • eCommerce • Healthtech • Marketing Tech
Analyze supply chain, marketing, brand, and customer service data for a DTC e-commerce business. Build inventory forecasting models, evaluate promotions and product launches, track customer service performance, transform Snowflake data using SQL and related tools, and develop Sigma dashboards. Partner with Supply Chain, Customer Service, Brand Marketing, and Data Engineering teams to improve forecasting, fulfillment, customer experience, and strategic decision-making.
5 Days AgoSaved
In-Office
Burbank, CA, USA
Digital Media • eCommerce • Healthtech • Marketing Tech
Own financial forecasting, predictive modeling, P&L reporting, unit economics, variance analysis, and reconciliation across e-commerce payment and accounting systems. Build financial datasets, SQL models, dashboards, and predictive models using Python and Snowflake. Partner with Finance and executive leadership to explain forecasts, assumptions, risks, and discrepancies while mentoring analysts and improving financial data quality.
5 Days AgoSaved
In-Office
Burbank, CA, USA
Digital Media • eCommerce • Healthtech • Marketing Tech
Analyze and reconcile e-commerce financial data across payment processors, banks, accounting systems, and internal databases. Build revenue, expense, order, and renewal forecasts; produce P&L, unit economics, budget-versus-actual, and variance reporting; support month-end close; and investigate discrepancies. Transform Snowflake data using SQL and tools such as KNIME or dbt, define financial metrics, and create Sigma dashboards for Finance and leadership.
9 Days AgoSaved
Remote
United States
Digital Media • eCommerce • Healthtech • Marketing Tech
Lead and scale companywide analytics for a DTC marketing business: own marketing measurement, financial forecasting, retention/LTV modeling, data architecture, reporting, and the analytics team. Set analytics strategy, oversee data engineering roadmap, build dashboards, apply statistical and ML methods, and translate insights into executive-level decisions.