Data Analyst - Data Center Operations

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.

Qualifications

Minimum Qualifications
- Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or a related field.
- Strong SQL skills and experience with data warehouses (Snowflake, BigQuery, Redshift, etc.).
- Proficiency in data visualization tools.
- Experience working with Python, R, or other programming languages for data analysis and automation.
- Solid understanding of data center metrics, including power efficiency (PUE), failure rates, and asset utilization.

Preferred Qualifications
- 2 years of experience in data analytics, preferably in a data center, cloud infrastructure, or IT operations environment.
- Experience with machine learning models for predictive maintenance and failure rate analysis.
- Familiarity with infrastructure monitoring tools.
- Strong problem-solving skills with a focus on process optimization and cost reduction.
- Ability to work in a fast-paced global environment and manage multiple priorities.

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.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2

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Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $79800 - $168000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 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).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.