Senior Analyst, Revenue Analytics & Insights

About the role

We’re seeking a Senior Analyst to join our Revenue Analytics team and help automate, scale, and operationalize data-driven insights for Ad Sales. Your focus will be Python- and SQL-driven automation, analytics, and data visualization that improve workflow efficiency, data accessibility, and decision quality.

Your responsibilities include:

• Build Python-driven reporting and SQL pipelines to automate data extraction, transformation, modeling, and ad revenue analytics.
• Design, maintain, and scale Tableau / Streamlit dashboards and self-serve data products for on-demand stakeholder insights.
• Translate business problems into analytical frameworks and deliver clear narratives, recommendations, and measurable outcomes.
• Ensure end-to-end data quality with checks, tests, monitoring, and documentation to improve reliability and reuse.
• Partner with Sales, Operations, Finance, and Product to prioritize initiatives, drive adoption, and deliver impact—leveraging GenAI where appropriate.

Requirements

The ideal candidate must be able to balance day-to-day responsibilities and long-term strategic projects within a fast-paced environment. They should be a self-starter and comfortable recommending solutions in an ambiguous environment with guidance.

Qualifications

• Deep proficiency in Python and SQL, plus strong business judgment and the ability to collaborate with non-technical stakeholders.
• 5–7+ years in analytics or data roles, including experience building pipelines, pulling from warehouses, and automating workflows.
• Strong BI experience (Tableau and/or Streamlit), including dashboard design, performance tuning, and governance/permissions.
• Applied statistical skills (e.g., regression, forecasting, hypothesis testing) to solve real business problems.
• Familiarity with digital advertising and ad tech (DSPs, SSPs, ad servers, DMPs; OTT/CTV a plus), with a track record of delivering projects end-to-end.

Skills

• Python
• SQL
• Tableau
• Streamlit
• Applied statistical skills
• Digital advertising and ad tech knowledge

Benefits

• Health insurance
• Equity awards
• Life insurance
• Disability benefits
• Parental leave
• Wellness benefits
• Paid time off

Pay

The estimated annual salary for this position is between $127,000 - $140,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.

Schedule

This position is a hybrid role, Monday – Thursday in office with the option to work from home on Friday.