Job Description
Description
About Verve
Verve is building a more efficient, privacy-first advertising ecosystem. By integrating premium data, supply, and demand across screens and environments, Verve enables advertisers and publishers to transact with greater transparency, performance, and scale.
Verve’s ecosystem includes leading SSPs — Smaato, PubNative, and LKQD, delivering omnichannel reach across Mobile, Desktop, CTV, and DOOH. With 30 global offices and a rapidly growing demand marketplace, Verve is trusted by 90 of the top 100 U.S. advertisers, 4,000+ publishers worldwide, and the industry’s leading demand-side platforms.
Role Overview
The Customer Analytics Manager focuses on the health, performance, and efficiency of specific programmatic publishers and DSPs within Verve’s ecosystem. In this role, you will partner closely with Marketplace, Business Development, and Account Management teams to identify trends, uncover optimization opportunities, and drive stronger performance outcomes for our partners.
This is a highly analytical and cross-functional role, requiring a strong understanding of programmatic advertising dynamics and the ability to translate complex data into actionable insights.
This is a Hybrid Role and you will be expected to be in office 3-days a week.
Key Responsibilities
Customer Performance Monitoring
Monitor the health and performance of assigned publishers and DSPs, providing actionable insights to account teams
Track key programmatic KPIs such as bid rate, win rate, eCPM, and overall revenue trends
Identify performance anomalies and proactively investigate root causes
Cross-Functional Reporting
Develop and maintain dashboards to visualize customer performance trends and opportunities
Deliver ad-hoc analyses and data extracts to support Business Development and Account Management teams in client-facing conversations
Ensure consistency, accuracy, and usability of reporting across stakeholders
Yield Support & Margin Maintenance
Analyze publisher and DSP combinations to ensure performance targets are met across business units
Identify segments where auction dynamics, pricing, or configurations may be impacting competitiveness or profitability
Measure and communicate the impact of optimizations, including floor price adjustments and targeting strategies
Requirements
Technical Requirements
SQL Proficiency: Strong experience querying large-scale data warehouses such as BigQuery or Snowflake
Data Visualization: Experience building dashboards and reports in tools such as Looker or Tableau
AdTech Foundations: Solid understanding of the programmatic ecosystem, including OpenRTB, header bidding, and auction dynamics
Analytical Mindset: Ability to troubleshoot data discrepancies, identify root causes, and clearly communicate findings to non-technical stakeholders
Preferred Qualifications
3+ years of experience in an analytics role within an SSP, DSP, agency, or ad network
1+ years of experience in a client-facing or stakeholder-facing role
Experience leveraging AI tools such as Gemini, NotebookLM, Claude, or ChatGPT to improve workflows and efficiency
Familiarity with Python and notebook environments (e.g., Jupyter, Colab) is a plus
Success Metrics
Improved performance and efficiency across assigned publishers and DSPs
Increased adoption and impact of dashboards and reporting outputs
Faster identification and resolution of performance issues
Measurable contribution to revenue growth and margin optimization
