Support analytic needs by utilizing data from ad servers, SSPs, and demand partners.
Guide AdTech and BI data strategies across mobile apps, web, and programmatic platforms.
Lead day-to-day troubleshooting efforts related to revenue discrepancies, fill issues, and auction health.
Create holistic dashboards from different data sources, presenting metrics such as revenue yield, eCPM, fill rates, floor pricing, win rates, and audience monetization to leadership.
Lead daily/weekly data standups with internal stakeholders and external demand partners to review revenue trends, surface test impacts, and document operational insights.
Build pricing models for O&O (owned and operated) and third-party inventory.
Design and implement SSP experiments to maximize yield, revenue, and inventory health, including floor price testing and demand partner optimizations.
Own the process of driving yield and operational insights from inventory and customer behavior data, partnering with Product and AdOps teams on A/B and multivariate tests to optimize monetization strategies.
Present AdTech yield analysis, strategic insights, and monetization recommendations to senior executives through dynamic dashboards, detailed reports, and executive summaries.
Conduct competitive analysis on advertising market trends, supply-side monetization strategies, and partner performance to optimize T-Ads inventory value.
Develop and refine yield management workflows; document analysis outcomes, troubleshooting protocols, and best operational practices to support scalable revenue growth across O&O and third-party platforms.
Requirements
Bachelors Degree required in Business, Statistics or similar field
2 years Experience with advertising technology environment focusing on digital media inventory analysis
2 years Experience with business intelligence tools (e.g. Business Objects, Cognos, Hyperion, etc.)
2 years Experience in reporting & analyzing performance & data visualization (Tableau; PowerBI)
2 years Experience in advanced analytics, which include SQL/ETL of complex datasets, competitive analysis, quantitative analysis & research.
At least 18 years of age
Legally authorized to work in the United States
Benefits
medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off and up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care
enhanced family support
childcare subsidy
tuition assistance
college coaching
short- and long-term disability
voluntary AD&D coverage
voluntary accident coverage
voluntary life insurance
voluntary disability insurance
voluntary long-term care insurance
mobile service & home internet discounts
pet insurance
access to commuter and transit programs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisrevenue analysispricing modelsA/B testingmultivariate testingSQLETLdata visualizationcompetitive analysisquantitative analysis