Measurement analyst

Overview

Measurement analyst - Brand Vertical COE - Marketing Science

We are looking for a highly analytical and detail-oriented Data Analyst to join the Marketing Science team. This role is critical in structuring and analyzing complex datasets, running statistical and sales models and translating insights into actionable recommendations. You will work closely with cross-functional partners to validate the impact of marketing investments and guide data-driven decision-making.

• Structure, clean and manage large, complex datasets across multiple sources (internal platform, sales, media data and datasets from research vendors).
• Design and execute robust statistical analyses (e.g., regression, time-series, ANOVA, Bayesian models, etc.) to measure marketing and sales impact.
• Build and run sales and marketing effectiveness models (MMM, touch attribution, incrementality, audience insights, causal inference, etc.).
• Quickly identify the right data sources and methodologies to address specific business questions.
• Translate technical findings into clear, business-relevant insights for cross-functional stakeholders (product, sales, etc.).
• Develop automated dashboards and reporting tools to scale insights across the organization.

• Bachelor's or Master's degree in Statistics, Econometrics, Data Science, Mathematics, or related field.
• Strong proficiency in SQL and Python and/or R for statistical analysis.
• Experience with BI/visualization tools (e.g., Tableau, Power BI, Looker).
• Strong foundation in statistical modeling and econometrics, with hands-on experience applying methods such as regression, causal inference, DML, Random Forest, and other supervised/ensemble models.
• Familiarity with marketing measurement methods such as MMM, attribution models, experimentation and incrementality based on RCT design or related.
• Strong problem-solving skills: able to frame ambiguous business challenges into structured analytical approaches.
• Excellent communication skills with the ability to distill complex analysis into clear and actionable recommendations.

• Minimum 5 years of experience in data analytics, marketing science or applied statistics roles.
• Background in digital marketing, advertising measurement or e-commerce analytics.
• Experience working with third-party datasets (e.g., Nielsen/NIQ, Kantar, retail sales panels, survey data).
• Exposure to big data platforms (Hive, Spark) or cloud environments.
• Demonstrated experience in building scalable measurement frameworks or analyses.
• Strong business acumen, with proven ability to connect analysis to commercial outcomes.
• Ability to balance depth of analysis with speed, adapting approaches depending on business needs.

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Marketing and Sales
• Industries: Technology, Information and Internet

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