Senior Measurement Analyst, North America

About the role

TikTok’s Measurement team interprets the performance of advertising on our platform. We partner with advertisers to optimize their activity, build meaningful connections, and drive behavior change. As a Measurement Analyst, you will work closely with Measurement Partners and Business leaders to provide analytics support that solves complex challenges, drives business growth, and optimizes measurement and ad performance.

Responsibilities

• Collaborate with measurement, product, and sales teams to develop and implement measurement and analytical strategies that drive revenue growth.
• Leverage internal and external data sources to build visualizations and reporting that inform business and measurement strategies.
• Track and report advertiser performance metrics to support and grow adoption of measurement solutions; build dashboards with advanced functionality.
• Use campaign and business-outcomes data, apply statistical models and methodologies to explain drivers of upper- and lower-funnel metrics.
• Design and test bidding, targeting, and optimization methods to support new product and feature development.
• Build prototype models, solutions, and applications using Python and R that measurement teams can use to understand drivers of campaign performance at scale.
• Provide actionable insights and recommendations to sales and measurement teams to optimize ad campaigns and improve ROI.
• Conduct training and education for measurement teams on reporting, dashboarding, and analytical solutions.
• Stay up-to-date with industry trends, best practices, and new measurement methodologies to continuously improve our measurement capabilities.

Requirements

• Bachelor’s degree in a quantitative field (e.g., Statistics, Data Science, Analytics, Mathematics, Economics, or Computer Science).
• 5+ years of experience in analytics and digital advertising from large marketing-related organizations or measurement suppliers.
• 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).
• Experience using SQL, Python/R, and visualization tools consistently in professional environments.
• Hands-on experience conducting advanced analysis using methods such as regression, decision trees, and random forests; portfolio of applications built in Python or R.
• Strong problem-solving skills and 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 on marketing and media topics.
• Familiarity with privacy-first innovation for marketing measurement systems.

Benefits

• Day-one access to medical, dental, and vision insurance.
• 401(k) savings plan with company match.
• Paid parental leave, short-term and long-term disability coverage, and life insurance.
• Wellbeing benefits.
• 10 paid holidays per year, 10 paid sick days per year, and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

Pay

The base salary range for this position is $121,600 – $208,800 annually. Compensation may vary outside of this range depending on qualifications, skills, competencies, experience, and location. Base pay is one part of the total package, which may also include discretionary bonuses, incentives, and restricted stock units.