Measurement Analytical Lead, North America
Listed on 2026-07-01
-
IT/Tech
Data Analyst, Data Science Manager, Data Scientist, Data Mining
Measurement Analytical Lead, North America
Location:
New York
Employment Type:
Regular
Job Code: A30556B
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. Tik Tok is looking for a full-time Measurement Analyst. This role will primarily work with Measurement Partners and Business leaders to provide analytics support solving complex challenges.
As a Measurement Analyst, you will work closely with our measurement and sales teams to drive business growth and optimize measurement and ads performance. Your primary responsibility will be to analyze and interpret data to inform measurement strategies, optimize ad campaigns and improve ROI. We seek a motivated and empathetic individual with strong analytical skills. Success in this role within a rapidly expanding environment depends on execution, curiosity and a commitment to data-driven thinking.
This person will be working with both brand and performance focused industry verticals on Tik Tok and will have the opportunity to build analytical programs which directly influence global Measurement strategy.
Qualifications:
Minimum Qualifications:
- 5+ years of experience in analytics and digital advertising from large marketing-related organizations or measurement suppliers
- Bachelor's degree in a quantitative field (e.g., Statistics, Data Science, Analytics, Mathematics, Economics or Computer Science).
- Proven experience in Data Science, Data Analysis, Measurement or a related field. Understanding of experimentation (conversion lift or geo-lift), attribution (last or multi-touch) and modeling solutions (marketing mix modeling) key to the role.
- Experience using SQL, Python/R and visualization solutions on a consistent basis in professional environments.
- Hands on experience conducting advanced analysis using methods such as regression, decision trees, random forests etc. Portfolio of applications built using these methods in Python or R.
- Strong problem-solving skills, with the ability to interpret complex data sets and communicate insights effectively.
Preferred Qualifications:
- PhD in Statistics or Data Science fields
- Experience working in Data Science teams at technology companies working on marketing and media topics.
- Familiarity with privacy-first innovation for marketing measurement systems
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