Data Analyst Lead USDS
Listed on 2026-06-26
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IT/Tech
Data Analyst, Data Science Manager, Data Engineering, Data Scientist
Responsibilities
About the Team
Tik Tok LIVE enables Creators to create compelling live content and enable real-time interactions with users. We provide users with a unique content experience while enabling Creators to provide more direct users interaction and deeper engagement with their fans. The Tik Tok USDS LIVE team consists of passionate Product & Operation Professionals, Data Analysts, and Strategists who safeguard Tik Tok's US user data and join forces with cross-functional teams to derive actionable insights from US user data and create a vibrant, fun, and safe space for users.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Responsibilities
- Apply expertise in data analysis and visualization to see beyond the numbers and understand how our users interact with our Tik Tok LIVE products.
- Deliver data support for both short term and long term business plans from strategic scope and execution aspects with in-depths analysis.
- Work closely with key cross functional teams such as product managers, operation teams, data and engineering teams to solve business problems.
- Build/maintain reports, dashboards, and metrics to monitor team performance.
- Manage team resources, coach and develop team members, constantly increase both technical and business efficiencies.
Qualifications
Qualifications
Minimum Qualifications
- Bachelor's degree with a background in Math, Economics, Computer Science, Statistics, or other quantitative fields
- 5+ years experience of Data Science and/or Data Analytics.
- 2+ years experience leading teams of Data Analysts, Data Scientists, etc.
- Expert experience pulling large and complex data using SQL and writing data pipelines along with Python
- Experience with data visualization tools (e.g. Tableau)
- Experience performing complex Data Analysis on monetization/revenue-driving products
Preferred Qualifications
- Master's degree with a background in Math, Economics, Computer Science, Statistics, or other quantitative fields
- Expertise knowledge and usage of Python
- Expert Analytical skills along with Business-Savvy mindset
About USDS
Tik Tok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of Tik Tok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the Tik Tok platform and U.S. user data, so millions of Americans can continue turning to Tik Tok to learn something new, earn a living, express themselves creatively, or be entertained.
The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
Data Security Statement
This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.
Why Join Us
Inspiring creativity is at the core of Tik Tok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
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…
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