Digital Marketing Executive working with eCommerce team to manage and optimize digital channels. Driving performance and delivering key trading activities for White Stuff's online presence.
About the role
- Marketing Analytics Lead designing and implementing a spend optimization model at Caesars Entertainment. Collaborating across teams to drive marketing investment decisions with data-driven insights.
Responsibilities
- Design and implement a daily-refreshing spend allocation model that integrates performance data, incrementality signals, and budget constraints.
- Develop logic to recommend optimal channel- and sub-channel-level spend based on performance, saturation curves, marginal ROI, and forecasted outcomes.
- Create dashboards, APIs, or automated reports that surface recommendations to the marketing organization in a clear, actionable format.
- Build and maintain data pipelines that ingest data from ad platforms, MMPs, internal databases, and attribution systems.
- Ensure data quality, freshness, and model reliability through automated checks and monitoring systems.
- Develop or refine Media Mix Models (MMM), incrementality frameworks, marginal return curves, and/or bid/optimization simulations.
- Partner with finance, marketing, and product to integrate non-marketing factors (seasonality, product promos, inventory, etc.) into spend recommendations.
- Serve as the analytical thought leader for marketing investment decisions.
- Work closely with channel owners to ensure recommendations align with campaign strategy and creative cycles.
- Collaborate with engineering to productionize models and maintain scalable infrastructure.
- Lead A/B tests and incrementality experiments to improve the accuracy of spend recommendations.
- Iterate on the model as new channels, geos, or strategies come online.
Requirements
- Must be 21 years of age or older
- 5+ years in marketing analytics, data science, growth analytics, or similar.
- Strong proficiency in Python or R, SQL, and scalable model deployment workflows.
- Experience building MMM, incrementality tests, or ROI/attribution models.
- Knowledge of paid media channels (paid social, search, affiliate, programmatic, etc.) and their underlying mechanics.
- Experience with visualization tools (Tableau, Power BI, Looker) for delivering insights and automated reporting.
- Ability to turn complex modeling outputs into simple business recommendations.
Benefits
- medical, vision, and dental insurance
- life insurance
- disability insurance
- a 401(k)-matching program
- paid Flexible Time Off
- paid company holidays
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