Manager, Data Analytics

Job Location:

Simon Media & Experiences (SME) is building the next phase of its programmatic media business — and analytics is central to that growth. We are looking for a Manager, Data Analytics to help build and scale a modern programmatic analytics and reporting ecosystem that directly drives revenue, pricing, and yield optimization.

This is a newly created role with meaningful ownership and visibility, ideal for a programmatic analytics leader who enjoys both building foundations and optimizing performance.

What You’ll Be Great At

• Turning complex programmatic and revenue data into actionable insights that drive measurable revenue outcomes.

• Understanding programmatic media ecosystems — inventory dynamics, demand performance, pacing, yield, pricing floors, CPMs, and monetization optimization.

• Building scalable analytical models and dashboards that support sales, operations, and executive decision‑making.

• Designing modern, automated, audit‑ready reporting using advanced Excel, Power BI, and a modern analytics toolset (e.g., SQL, Power Query, Python, Salesforce, or similar).

• Applying financial fundamentals (revenue recognition, accruals, variance analysis) to media and advertising data.

• Communicating insights clearly to non‑technical stakeholders in ways that influence pricing, yield, and go‑to‑market strategy.

• Thriving in fast‑paced, growth‑oriented environments where analytics directly impacts commercial performance.

What You’ll Do

• Help build SME’s programmatic analytics and reporting ecosystem from the ground up, establishing scalable, data‑driven decision‑making.

• Design, maintain, and evolve dashboards and analytical models supporting programmatic revenue growth, yield optimization, and pricing strategy.

• Integrate data from multiple sources, transform it into reliable models, and deliver insights that directly support revenue performance.

• Provide visibility into programmatic revenue, pacing, pipeline health, and performance trends for sales and leadership.

• Analyze weekly and monthly performance metrics to identify trends, risks, and monetization opportunities.

• Partner closely with sales and operational teams to ensure analytics informs pricing decisions, yield optimization, and go‑to‑market execution.

• Drive automation and process improvements that reduce manual reporting and improve accuracy and consistency.

We value pragmatic, scalable tools that drive outcomes over rigid technology requirements.