Efficiency Analyst/Methodologist Project Intern (Content Operations --Operations-Operati
Listed on 2026-08-01
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IT/Tech
Data Analyst, Data Engineering
Location: New York
Discover a career that energizes and excites you every day.
@2026 Tik Tok
Global Operations
Efficiency Analyst/Methodologist Project Intern (Content Operations - Tik Tok-Operations-Operations Efficiency) - 2026 StartLocation:
New York
Employment Type:
Intern
Job Code:
A90978
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ResponsibilitiesAbout the team:
Join our Content Operations team and play a vital role in empowering entertainment/sports/publishing creators and partners around the world! We focus on enhancing the experience of creating Professionally Generated Content (PGC) on our platform, driving creativity and innovation in the short-video space. If you're passionate for the content industry, have a drive to build innovative products, and enjoy building global connections, this role is for you.
This role sits within the Operations Strategy team, which seeks to drive effectiveness and efficiency of Ops programs and management by standardizing best practice, diagnosing and solving global underperformance and supplementing our strategies with external insight & rigour.
As a Project Intern, you will contribute to impactful short-term projects and gain hands‑on experience in a fast‑paced, professional environment. This internship offers the opportunity to develop practical skills, apply your knowledge to real-world challenges, and explore your career interests.
Applications are reviewed on a rolling basis, so we encourage you to apply early.
- Efficiency Metrics Enablement:
Collaborate with Product and Data Science teams to define/build operational efficiency metrics. Enable Operations Strategy team with dashboards and data infrastructure for regular global efficiency-driven business reviews and ad hoc analyses. - Performance Analysis:
Measure key program and partnership performance, establish benchmarks to diagnose under/over-performance, and analyze underlying levers for growth. - Best Practices & Scaling:
Analyze operational project structures to identify local best practices, and support their adoption globally.
Minimum Qualifications:
- Pursuing a Bachelor's degree in an analytical field.
- Strong data and analysis skills.
- Experience with building and managing data pipelines and dashboards.
- Understanding of operations and program/partnerships performance metrics.
Preferred Qualifications:
- Understanding of the digital content ecosystem and social media metrics.
- Ability to work effectively with multi-functional teams across operations, product, data science/data warehouse, partnerships and programs.
- Ability to translate complex data into pragmatic and actionable best practices.
The hourly rate range for this position in the selected city is $25- $25.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
- Interns have day one access to health insurance, life insurance, wellbeing benefits and more.
- Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).
- Interns who are not working 100% remote may also be eligible for housing allowance.
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:
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