Measurement Analyst, CoE - Analytics & Operations (Sydney)

The Measurement team is responsible for demonstrating and improving the effectiveness of advertising on TikTok. We partner with advertisers, agencies, and cross-functional teams to interpret campaign performance, shape measurement strategies, and unlock stronger business outcomes through data-driven insights. Our team sits at the intersection of sales, product, analytics, and marketing. We help clients understand how TikTok drives results across branding and performance objectives, while also influencing the evolution of measurement products, solutions, and partnerships.

• Build statistical and ML models (regression, causal inference, predictive analysis etc.) to estimate incremental ad impact and predict campaign performance
• Design and run geo/holdout tests, RCT experiments to validate attribution models against ground truth
• Build automated, self serve dashboards and reporting tools (SQL/BI tools/Python) to scale insights across the org
• Run statistical analysis on large scale campaign and granular datasets with hypothesis testing, regression diagnostics and other techniques — to explain performance shifts and validate model outputs
• Partner with sales, product and other cross functional teams to troubleshoot attribution gaps and improve app performance tracking
• Stay up-to-date with industry trends, best practices and new measurement methodologies to continuously improve our measurement capabilities.

• Bachelor’s degree in Statistics, Economics, Engineering, Computer Science, Marketing Analytics, or related field
• Hands-on experience in coding in Python/R and advanced SQL
• Extensive experience in digital marketing, marketing science or measurement analytics.
• Strong applied statistics: hypothesis testing, regression, experimental design, causal inference
• Working exposure to Marketing Mix Modeling (MMM) and/or Multi-Touch Attribution (MTA) methodologies
• Strong analytical and problem-solving skills, with the ability to interpret complex data sets and communicate insights effectively.
• Excellent communication skills with the ability to distill complex analysis into clear and actionable recommendations.

• Experience building measurement products or internal tools from the ground up, in ambiguous, 0-to-1 environments
• Data engineering exposure – building/maintaining pipelines, working with large-scale data
• Practical experience with MMPs (e.g., AppsFlyer, Adjust, Branch, Singular)