Job
Description
The Sr. Yield Optimization Analyst at Prodege plays a pivotal role in aligning revenue operations with strategic business goals, ensuring the company maximizes gross profit and operational efficiency by optimizing offer management by optimizing the yield of our users in performance marketing. The role will communicate with Sales, Account Management, AdOps, and Prodege’s Partner Network. The role also ensures continuous reporting, smooth operations, and client support, delivering measurable impact to Prodege’s bottom line. The ideal candidate will have a proven track record of success managing complicated reporting and data analysis, with experience in the adtech or market research tech domains. The ideal candidate will also have a desire for continued career growth Primary Objectives: Revenue Optimization & Profit Maximization Client Support & Relationship Management Cross-Functional Collaboration & Change Management Data & Market Insights Reporting Process Automation & Technology Integration Qualifications - To perform this job successfully, an individual must be able to perform each job duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Detailed Job Duties: ( typical monthly, weekly, daily tasks which support the primary objectives ) Revenue Optimization & Profit Maximization Tactically work with each offer to understand how to maximize gross profit. Understand and capitalize on market forces so that Prodege extracts maximum value from the current environment. Client Support & Relationship Management Focus on premier support for tier 1 and tier 2 clients, while maintaining relationships with tier 3 and tier 4 clients. Go through the offer business ticket by ticket to understand at a ground level what the clients need. Cross-Functional Collaboration & Change Management Organize multiple teams against the key objectives of RevOps. Collaborate with leadership and members of multiple teams to ensure that their expertise is incorporated into RevOps best practices and that change management is smooth. Data & Market Insights Reporting Analyze financial trends to suggest the best course of action. Provide regular reporting on a daily, weekly, and monthly cadence to internal stakeholders. Process Automation & Technology Integration Work with dev teams to produce new features that automate as much as possible. Become intimately familiar with Prodege’s adtech to leverage automation and technology for RevOps efficiency. What Success Looks Like: Successful performance in the Sr. Yield Optimization Analyst role at Prodege is defined by the ability to optimize revenue operations, maximize gross profit, and drive operational efficiency across multiple teams, including Sales, Account Management, AdOps, and Prodege’s Partner Network. The individual must seamlessly integrate technology and automation to improve processes while maintaining clear and consistent reporting to guide strategic decision-making. Strong cross-functional collaboration is essential, ensuring that RevOps best practices are implemented smoothly and effectively across departments. Ultimately, the RevOps Manager’s impact is measured by their ability to enhance profitability, streamline workflows, and strengthen Prodege’s position in the market through data-driven insights and continuous process improvements. The role’s effectiveness is enabled by effectively developing and nurturing internal relationships while also understanding client needs. These relationships and knowledge are then turned into effective, cross-departmental initiatives. It involves seamless collaboration with sales, account management, AdOps, Prodege Partner Network, and IT. The MUST Haves: ( ex: skills, education, experience, certifications, licenses ) Five or more (5+) years of operational management experience in the adtech or market research industry is required. Proven ability to work across multiple departments with a compassionate and pragmatic touch. Comfortable communicating, especially with regards to technical content. Organizational skills with the ability to manage time effectively and prioritize tasks to meet a range of deadlines. Skilled in data analysis with tools such as PowerBI, Snowflake, Sigma, Metabase, etc. The Nice to Haves: ( preferred additional skills, education, experience, certifications, licenses ) Bachelor’s degree in a related field or equivalent education/professional experience is highly preferred.
