Performance Analyst

OnAudience is part of the Cloud Technologies group, one of the fastest growing technology companies in Europe. The company provides data for internet advertising targeting, supporting campaigns for some of the largest brands worldwide. They have developed a proprietary data cloud processing information on 5 billion users from over 200 markets worldwide, operating mainly in the USA and Western Europe. Offices are located in Warsaw and London. Cloud Technologies is listed on the Main Market of the Warsaw Stock Exchange.

• 1-3 years experience as a performance analyst or data analyst in ad tech, programmatic, or digital media, with experience in curation, SSP, DSP, or trading desk being a strong asset.
• Solid knowledge of programmatic mechanisms: SSP and DSP platforms, deal ID identifiers (PMP, PG, preferred deals), RTB auction dynamics, and inventory packaging.
• Practical and very good proficiency in Excel and Google Sheets for performance analysis; SQL knowledge is an additional asset.
• Experience working with BI and data visualization tools such as Looker Studio/Data Studio, Tableau, Power BI is a plus.
• Analytical mindset with ability to work with large, sometimes unstructured datasets and translate numbers into actionable recommendations.
• Attention to detail, reliability, and timeliness in executing periodic reporting processes.
• Highly developed communication skills with ability to clearly explain analysis results to both technical and non-technical stakeholders, including clients.
• Fluent command of English in speaking and writing (mandatory).

Nice to have:

• Knowledge of specific SSP platforms like Google Ad Manager/AdX, Xandr, PubMatic, Index Exchange, OpenX, Magnite, Equativ.
• Experience in directly presenting performance results to clients.

• Monitor and analyze the performance of curated deals active on SSP platforms such as Magnite, Microsoft Curate, PubMatic, Equativ for direct clients.
• Track key performance indicators (KPIs) at deal and campaign levels and proactively report weaker results.
• Investigate root causes of low deal performance including pricing, targeting, inventory quality, and technical configuration, and recommend optimization actions.
• Create and maintain periodic reports and dashboards for clients and internal teams (Sales, Account Management, Product).
• Collaborate with Account Managers in preparing performance summaries and Quarterly Business Review (QBR) presentations, translating data into clear client communication.
• Perform cross-checking (cross-verification) of performance data between multiple SSP platforms and internal systems.
• Support quality assurance (QA) processes for new deal settings and configurations before campaign launches, focusing on data, reporting, and KPIs.
• Participate in automation of periodic reporting processes using scripts, no-code tools, or APIs.