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Marketing Performance Specialist – Cleanrooms
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Marketing Performance Specialist – Cleanrooms As a Marketing Performance Specialist focused on Cleanrooms, you will collaborate with cross-functional teams and external partners to build, manage, and optimize cleanroom attribution models. You will lead technical discussions, validate data quality, and contribute to marketing measurement strategies. Join us to play a pivotal role in advancing our marketing analytics capabilities and cleanroom solutions. Responsibilities Lead technical conversations around Cleanroom implementation and integration with advertising partners Translate business and marketing measurement questions into Cleanroom queries focusing on attribution models, reach and frequency analysis, and randomized controlled trials Collaborate with internal data engineering teams to connect Cleanroom environments and optimize ingestion pipelines Validate and audit quality and completeness of partner-provided input data to ensure accuracy and trustworthiness Establish and maintain internal documentation and best practices guiding Cleanroom operations and strategy Manage multiple projects independently in a fast-paced environment Communicate models and methodologies effectively to non-technical stakeholders Create insights and optimize cleanroom attribution models to support paid media teams Requirements Hands-on experience with at least one Cleanroom platform such as LiveRamp/Habu, Snowflake Cleanroom, or Databricks Cleanroom 3+ years of experience in data science, analytics, or related technical roles 2+ years of experience writing complex SQL to extract and manipulate large datasets Strong communication skills with ability to explain models to non-technical stakeholders Ability to work independently and manage multiple projects in a fast-paced environment Experience in BI analysis and marketing data analytics English proficiency at B2 level or higher Nice to have Experience with marketing and paid media campaign performance Experience in gaming, media, or entertainment industries Knowledge of Python for data analytics Familiarity with 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 #J-18808-Ljbffr
