The Marketing Science 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, while also measuring internal impact caused by these strategies.
About the Role:
We are looking for a Data Analyst to join our team and help drive better decision-making through robust data analysis, scalable reporting, and actionable insights. This role is focused on transforming data into business intelligence that supports strategic and operational initiatives across TikTok’s advertising business.
The ideal candidate is curious, detail-oriented, and capable of translating complex data into clear, actionable recommendations for a variety of stakeholders, including senior leadership.
We seek a highly analytical, empathetic person who is looking to help build our Marketing Science discipline, where execution and data-driven thinking in a fast-growth environment will be critical for success.
Responsibilities:
- Act as an internal partner supporting and structuring end-to-end analytical initiatives by framing business problems, defining analytical approaches, and delivering impactful solutions.
- Define and monitor strategic KPIs, partnering with other teams to refine and continuously track key metrics that align with organizational goals and growth strategies.
- Conducting in-depth analysis and building reports to monitor the impact of TikTok’s measurement programs, identifying trends, risks, and growth opportunities.
- Collect, process, and structure data from various sources using SQL, Python, or R. Design and develop scalable analytical and reporting solutions such as tables, datasets, models, and dashboards.
- Deliver data support for both short-term and long-term business plans from strategic scope to execution with an in-depth analysis.
- Collaborate closely with cross-functional teams, including Sales, Strategy, Product, and Global Data teams to deliver impactful analytical solutions.
- Foster a data-driven culture by influencing internal teams and promoting the adoption of data-centric thinking. Contribute to internal documentation, best practices, and team knowledge-sharing efforts.
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