Lead Exchange Optimization Analyst

Employment Type: Full-Time

Company at a Glance

OpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens.

At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising.

OpenX is seeking a highly capable and entrepreneurial Lead Exchange Optimization Analyst to join our core team focused on improving the efficiency, performance, and monetization of our global programmatic exchange. This role is ideal for someone who thrives in data, is fluent in advanced SQL, and has a passion for uncovering optimization opportunities across billions of bid requests each day.

You will work hands-on with rich datasets to diagnose inefficiencies, test hypotheses, and drive measurable improvements that benefit DSPs, publishers, and OpenX. While not a formal data science team, we deeply value analytical rigor and statistical thinking—and are looking to strengthen our bench with someone who brings that mindset to the table.

The ideal candidate is relentlessly curious, comfortable pivoting complex data, and excited to explore the inner workings of one of the largest ad exchanges in the world. You’ll play a key role in shaping how the exchange evolves to serve a more dynamic, data-informed, and value-driven ecosystem.

You’ll be empowered to go beyond just surfacing insights—your work can directly translate into action. Analysts on our team not only identify inefficiencies but also design and launch live experiments to validate improvements. When successful, those changes can be shipped to production in a matter of hours—shaping how billions of requests are processed across the exchange. Your ability to connect business understanding with data-driven execution will be critical to driving meaningful impact at scale.

Our analytics stack is fully cloud-based, giving us scalable access to both raw logs and curated data views. Whether we’re debugging at the request level or analyzing patterns across weeks of exchange traffic, querying billions of records takes seconds. This speed and flexibility empower us to move quickly from hypothesis to insight to action.

Key Responsibilities

• Analyze large-scale exchange data (bid requests, impressions, wins, revenue) to surface actionable insights and optimization opportunities
• Design, execute, and evaluate experiments that test hypotheses around traffic shaping, bid filtering, pricing floors, or other monetization levers
• Develop and maintain dashboards and recurring reports in SQL and BI tools like Looker to monitor key exchange metrics and alert on anomalies
• Partner closely with product, engineering, and data science teams to refine exchange logic and build smarter systems for request routing, deal handling, and QPS allocation
• Work collaboratively across demand and supply teams to identify bottlenecks, inefficiencies, and growth opportunities
• Serve as an internal subject matter expert on bid request data quality, ad decisioning paths, and exchange performance drivers
• Translate complex data findings into clear narratives and strategic recommendations for cross-functional stakeholders

Qualifications

• 7+ years of experience in analytics, data operations, or optimization within a high-scale programmatic environment (SSP, DSP, or ad exchange)
• Expert-level SQL skills, especially in BigQuery or a similar large-scale data platform
• Strong background in data analysis, statistics, or experimentation—able to interpret noisy signals and guide decision-making with evidence
• Proven ability to