Data Analyst – Data Center Operations

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 its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

To support the fast growth and manage the massive content on the platform, ByteDance's infrastructure team is building hyper-scale datacenters globally that host hundreds of thousands of servers. We are looking for a passionate and structured project manager to overlook the End-to-End process in Data Center lifecycle management, including data center planning, sourcing, deployment and decom.

About the Role
We are seeking a highly analytical and detail-oriented Data Analyst to support our Data Center Operations team. This role is critical in driving operational efficiency, optimizing capacity utilization, and ensuring data-driven decision-making across our global data center footprint. You will work closely with cross-functional teams, including infrastructure engineering, server delivery, fleet management, and data center power operations, to analyze key performance metrics and generate actionable insights.

Responsibilities
- Operational Analytics & Reporting
- Develop and maintain dashboards to monitor capacity utilization, power consumption, asset lifecycle, and infrastructure performance.
- Provide data-driven insights to improve server deployment, workload distribution, and failure rate modeling.
- Track and report key operational metrics related to power, cooling, hardware reliability, and maintenance efficiency.
- Capacity & Performance Optimization
- Analyze server and power utilization trends to optimize data center capacity planning.
- Develop forecasting models for failure rates, wear-out components, and spare inventory management.
- Identify inefficiencies in server placement, power usage, and workload distribution to enhance operational stability.
- Data Governance & Process Improvement
- Ensure data integrity and consistency by maintaining a single source of truth across multiple data sources.
- Work with engineering teams to automate data collection, ETL processes, and anomaly detection.
- Standardize operational metrics across global data centers to align with business and cost efficiency goals.
- Collaboration & Stakeholder Engagement
- Partner with data engineers, infrastructure teams, and finance to align data insights with business objectives.
- Support leadership with data-driven recommendations for budget planning, operational efficiency, and risk management.
- Provide training and documentation on data tools and dashboards for internal teams.