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Programmatic Revenue Analyst

Job in New York, New York County, New York, 10261, USA
Listing for: Samba TV
Part Time position
Listed on 2025-12-07
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 90000 USD Yearly USD 80000.00 90000.00 YEAR
Job Description & How to Apply Below
Location: New York

Base pay range

$80,000.00/yr - $90,000.00/yr

Samba

TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI‑driven insights.

The Programmatic Revenue Analyst plays a pivotal role in driving financial accuracy and transparency across Samba

TV’s comprehensive programmatic portfolio, including Data Segments, PMP deals, Managed Service, and Open Exchange (OX) solutions. As the owner of the revenue reconciliation process, this position sits at the critical intersection of adtech platforms, revenue operations, and data analytics. The role demands a unique blend of technical prowess and deep programmatic advertising expertise to navigate complex platform relationships and revenue models.

The ideal candidate is a data‑driven problem solver who can translate intricate programmatic metrics into actionable business insights. They thrive in a dynamic environment where they can tackle multiple high‑stakes priorities while maintaining impression‑level precision across billions of monthly transactions. This position offers the opportunity to build a streamlined revenue operations system at a company that is fundamentally transforming how brands leverage TV data across the entire media ecosystem.

How

You Will Grow
  • Own end‑to‑end monthly revenue reconciliation process across all programmatic offerings using Power BI and Azure
  • Ingest, clean, and normalize usage reports from multiple activation platforms, including DMPs (Live Ramp, Semasio), SSPs (Magnite, Freewheel, OpenX, Xandr Curate, Pubmatic), CTV AdServers (Springserve), and DSPs (The Trade Desk, Xandr Curate, DV360)
  • Map all programmatic product usage data to Salesforce Opportunities and Product Line Items to ensure accurate revenue attribution
  • Build and maintain comprehensive dashboards that provide visibility into programmatic revenue streams
  • Analyze and validate impression data, CPMs, Traffic Acquisition Costs (TAC), and revenue share agreements across different usage reports
  • Proactively investigate and resolve revenue discrepancies between platform usage reports and Salesforce opportunities to maintain data integrity and accurate forecasting
  • Drive cross‑functional alignment between Finance, Sales, and Operations teams to ensure timely and accurate revenue recognition, reporting, and billing processes
  • Analyze platform performance metrics to deliver actionable revenue insights and growth opportunities to key stakeholders across Sales, Finance, and Executive teams
  • Lead process automation initiatives and develop strategic recommendations for new tools and technologies to optimize the monthly reconciliation workflow
Qualifications
  • Must live within 50 miles of a Samba Office in NYC; required in‑office 3 days a week (Tuesday–Thursday)
  • 5+ years of experience in programmatic advertising, adtech, or data analysis
  • Degree in Business Analytics, Data Science, Computer Science, or related field
  • Deep understanding of programmatic advertising metrics (impressions, CPMs, revenue shares) and usage reports across DMPs, SSPs, DSPs, and ad servers
  • Advanced Excel and Google Sheets experience with scripting capability
  • Experience with tools like Power BI, Tableau, Datorama, Looker
  • Proficiency in Salesforce CRM and ability to understand complex data relationships
  • Meticulous attention to detail and ability to investigate data anomalies
  • Excellent problem‑solving skills with the ability to work independently
  • Strong communication skills to effectively collaborate with cross‑functional teams
Preferred Qualifications
  • Experience with Python (Pandas) or R for data analysis and automation
  • SQL proficiency for querying and analyzing large datasets
  • Knowledge of APIs and data integration concepts
  • Experience with version control systems like Git
  • Experience with ETL processes and data warehousing concepts

Samba

TV is an…

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