Responsibilities

The Measurement team is responsible for interpreting the performance of Advertising on our platform. We work with advertisers to optimize their activity on the platform and build meaningful connections that help drive behavior change. TikTok is looking for full-time Measurement Partner supporting NA Accounts. This role will partner with our leading global clients and agencies to help measure the effectiveness of their investment in our platform. In addition, this role will partner with key cross-functional teams such as sales, product marketing, measurement product, and business marketing to ensure that clients and agencies have best-in-class support. We seek highly-driven, empathetic individuals who are looking to build our Marketing Sciences discipline, where execution, curiosity, and data-driven thinking in a fast-growth environment to make others better will be critical for success. Responsibilities - Partner with large global advertisers and agencies to develop measurement strategies and learning agendas that quantify advertising effectiveness and inform business and investment decisions. - Translate business questions into measurable hypotheses and design appropriate experimental or analytical approaches, including defining study populations, treatment and control structures, outcome metrics, measurement windows, and data requirements. - Apply and interpret statistical and causal measurement methods across solutions such as Brand Lift Studies, Conversion Lift Studies, incrementality experiments, geo-based measurement, attribution / MTA, Marketing Mix Modeling, Store Visit measurement, and other relevant measurement approaches. - Analyze and interpret quantitative results using inferential statistical methods, including lift estimation, statistical significance, confidence intervals, regression-based analysis, and other causal or observational techniques; assess data quality, assumptions, bias, and methodological limitations. - Use analytical tools such as SQL, R, and TikTok proprietary measurement systems, or partner with Measurement Analysts and Data Science teams on analysis, while owning the methodological interpretation and translation of findings into actionable client recommendations. - Partner with Sales, Product Marketing, Measurement Product, Data Science, and other cross-functional teams to improve measurement methodologies, scale best practices, and ensure client and agency feedback informs product and measurement development.

Qualifications

Minimum Qualification(s) - 5+ years of experience in digital advertising, marketing measurement, marketing science, analytics, measurement suppliers, or other relevant quantitative functions. - A track record of inferential problem solving through experimental or study design, statistical analysis, and other quantitative analytical methods. - Demonstrated ability to translate business questions into measurement plans, select appropriate methodologies, and interpret quantitative results, assumptions, uncertainty, and limitations. - Exceptional time-management and goal-oriented task management skills. - A track record of driving client decisions through clear communication, quantitative evidence, and cross-functional collaboration. - Ability to work effectively and consistently in a fast-paced environment with global stakeholders. Preferred Qualification(s) - Relevant bachelor's degree in a quantitative field such as mathematics, statistics, economics, engineering, operations research, computer science, data science, or a related discipline; graduate degree in a quantitative field preferred. - Experience in the FinServ/Health/Auto/Telco industry or supporting FinServ/Health/Auto/Telco advertisers and agencies preferred; experience working across other industry verticals and adapting measurement approaches to different business models, customer journeys, and conversion cycles is also beneficial. - Experience with advertising agencies, advertising platforms, or other complex marketing data environments. - Experience using SQL and/or R for quantitative analysis and working with large-scale advertising or experimentation datasets. - Experience with advertising measurement methodologies such as lift experiments, causal inference, geo-based measurement, attribution / MTA, or Marketing Mix Modeling. - Familiarity with privacy-first measurement systems and methodologies.

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