Marketing Performance Expert – Cleanrooms

Marketing Performance Expert – Cleanrooms As a Marketing Performance Expert concentrating on Cleanrooms, you will partner with diverse teams and external collaborators to develop, oversee, and enhance cleanroom attribution frameworks. You will spearhead technical discussions, ensure data integrity, and contribute to evolving marketing measurement approaches. Join us to lead advancements in marketing analytics and cleanroom technologies. Responsibilities Lead technical discussions on Cleanroom deployment and integration with advertising partners Translate marketing measurement and business questions into Cleanroom queries emphasizing attribution models, reach and frequency, and randomized controlled trials Collaborate with internal data engineers to link Cleanroom environments and improve data ingestion pipelines Verify and audit the quality and completeness of partner-supplied data to guarantee accuracy and reliability Develop and uphold internal documentation and best practices for Cleanroom operations and strategy Oversee multiple projects independently within a dynamic environment Effectively communicate models and methodologies to stakeholders without technical backgrounds Generate insights and refine cleanroom attribution models to aid paid media teams Requirements Proven experience with at least one Cleanroom platform such as Databricks Cleanroom, Snowflake, or LiveRamp/Habu Over 5 years of background in data science, analytics, or related technical fields At least 4 years of expertise in writing advanced SQL queries to extract and manipulate extensive datasets Strong communication skills capable of explaining complex models to non-technical audiences Ability to work autonomously and juggle multiple projects in a fast-paced setting Experience in BI analysis and marketing data analytics English language skills at B2 level or above Nice to have Knowledge of marketing and paid media campaign performance Experience in gaming, media, or entertainment sectors Familiarity with Python for data analytics Understanding of R programming language We offer International projects with top brands Work with global teams of highly skilled, diverse peers Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000 courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Seniority level Mid-Senior level Employment type Full-time Job function Information Technology, Research, and Business Development Industries Software Development, IT Services and IT Consulting, and Technology, Information and Internet J-18808-Ljbffr

Location: Brazil, BR

Posted Date: 11/3/2025