Data Analyst Lead, TikTok Live - USDS

Responsibilities

About the Team
TikTok 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 TikTok USDS LIVE team consists of passionate Product & Operation Professionals, Data Analysts, and Strategists who safeguard TikTok'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 TikTok 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

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $123627 - $256500 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.