Live Operations Data Analyst: Drive Growth & Insights

TikTok; Los Angeles, New York (CA, NY); On-site; MXN 502,000 - 725,000; Full time

Job summary

TikTok is expanding its US LIVE Operations data analysis team. The Data Analyst will build comprehensive dashboards, conduct ad-hoc analysis, and support decision making with data-driven insights across product and operations.

You will partner with Product, Operations, and R&D to optimize performance and inform strategic initiatives. Applicants should bring a strong background in data analysis, dashboarding, and modeling, plus 5+ years of relevant experience and proficiency in Excel, SQL, Hive,

Qualifications

• Bachelor’s degree or higher.
• 5 years of experience in business analysis for internet products.
• Proficient in data analysis tools and languages, including Excel, SQL, Hive, and Python.
• Experience in data analysis, visualization, and building reports or dashboards.

Responsibilities

• Lead data analysis efforts to support TikTok LIVE Operations, providing insights to drive business growth and performance.
• Identify key factors influencing product growth and operational efficiency; deliver actionable recommendations aligned with strategic goals.
• Partner cross-functionally with Product, Operations, and R&D teams to develop and implement data-driven optimization plans.
• Design and analyze strategic initiatives and incentive mechanisms; evaluate the impact of product enhancements, promotional activities, and metric anomalies.
• Build and maintain specialized analytical models tailored to support business decisions and long-term planning.

Skills

Excel

SQL

Hive

Python

Education

Bachelor’s degree or higher

Job description

TikTok is expanding its US LIVE Operations data analysis team. The Data Analyst will build comprehensive dashboards, conduct ad-hoc analysis, and support decision making with data-driven insights across product and operations.

You will partner with Product, Operations, and R&D to optimize performance and inform strategic initiatives. Applicants should bring a strong background in data analysis, dashboarding, and modeling, plus 5+ years of relevant experience and proficiency in Excel, SQL, Hive,