Junior Yield Data Analyst – Ad Tech Experience Required

Job not on LinkedIn

November 7

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Logo of Freestar

Freestar

Advertising • SaaS • Enterprise

Freestar is a company that delivers comprehensive ad monetization solutions tailored for publishers, retailers, and app developers. Specializing in programmatic ad strategies, Freestar emphasizes long-term business growth and revenue optimization through their proprietary technology and expert team. Their offerings include advanced header bidding, customized ad serving solutions, and insightful data analytics for real-time performance monitoring. By focusing on increasing ad revenue and providing high-impact ad units, Freestar helps clients innovate and navigate the complexities of the ad tech landscape. With a commitment to customer success, they provide a range of additional services like SEO consultations and audience development support, ensuring clients can focus on their primary business goals while Freestar optimizes their ad operations.

201 - 500 employees

Founded 2018

☁️ SaaS

🏢 Enterprise

💰 Private Equity Round on 2021-01

📋 Description

• Identify, analyze, and interpret trends in complex data sets to maximize publisher yield. • Extract and analyze bidstream and auction data to surface trends, anomalies, and optimization opportunities. Provide recommended changes to enhance bidding dynamics and yield outcomes. • Develop and maintain analytic monitoring and alerting systems for yield management, ensuring rapid identification and diagnosis of revenue-affecting issues and performance drops. • Produce data-driven summaries and actionable insights for internal teams and executives, ensuring technical accuracy and clear communication for a range of technical and non-technical stakeholders. • Support Yield Managers and Publishers in implementing data-driven best practices and monetization strategies. • Monitor macro and micro trends, providing proactive alerting on network or site-level issues and tracking key KPIs (ie fill rate, eCPM, revenue, latency, viewability). • Investigate and respond to technical or operational issues to maximize yield without compromising user experience, site speed, or ad quality. • Build and maintain AB testing frameworks, reporting, and result interpretation. • Perform root cause analysis for data or ad-serving problems; provide technical QA for new publisher onboarding, AB tests, product launches, and engineering initiatives. • Act as a subject matter expert for Freestar data capabilities. Support data integrity projects. • Project manage yield and data initiatives from planning through successful implementation, ensuring clarity, accountability, and effective communication. Collaborate cross-functionally with Business Intelligence, Product, Engineering, Customer Success, Business Development, and Demand. • Stay up-to-date on industry trends and emerging yield opportunities; recommend and pilot innovative monetization solutions.

🎯 Requirements

• Bachelor’s degree or relevant work experience in Mathematics, Economics, Statistics, Business Analytics, Data Science, or a related quantitative field. • 2-4 years of experience in ad tech; preferably at a digital publisher or ad management company. Minimum 2 years of experience in an analytical role. • Deep familiarity with header bidding, Prebid, SSPs, DSPs, ad serving, Google Ad Manager, and major ad tech platforms. • Advanced skills in Excel and Google Sheets. Familiarity with working with large complex data sets. • Experience in SQL and willingness to adopt new data tools as needed. • Hands-on experience with data visualization and presentation tools to tell compelling stories with data. • Adept at deriving analytic insights, and presenting findings to external and internal stakeholders. • Strong written and verbal communication skills to explain complex yield strategies and analytical insights to technical and non-technical audiences. • Detail-oriented and organized, able to manage multiple priorities and stakeholders. • Proactive, resourceful, and self-motivated; possesses intellectual curiosity and the drive to independently explore and solve problems. • Able to work independently as well as part of a broader team. • Experience with AB testing a plus. • Experience with LLMs or machine learning tools for data analysis is a bonus. • Adaptable and comfortable wearing many hats in a rapidly changing industry and company setting.

🏖️ Benefits

• Full-Time, Salaried Position • The opportunity to be part of something BIG

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