Data Analyst Intern (TikTok-LIVE) - 2027 Start

岗位职责 / Responsibilities

About the Team

The Regional LIVE Operation Strategy Team leads various cross-functional projects. Our key initiatives include developing strategic plans to drive widespread adoption of LIVE at scale among creators, localising new product features, creating user engagement strategies, ensuring a positive creator experience through education on the Community Guidelines and best practices, and providing ad hoc analysis and support to cross-functional partners.

We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.

Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.

Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.

Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.

Internship Overview

We're looking for a Data Analyst project intern to join our dynamic LIVE team. In this role, you’ll uncover insights and deliver data-driven recommendations that directly impact how we grow and support our creator ecosystem. You'll work cross-functionally with product, strategy, and operations teams to shape our growth priorities using data and analytical thinking.

As a project intern, you will have the opportunity to engage in impactful short-mid term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.

Examples of Problems You’ll Be Solving:

- What are the best content verticals for us to focus our creator recruitment on?

- How can we build a predictive model to identify high-potential creators early?

- What are the right leading and lagging indicators to measure success against our key OKRs?

- How can we segment creators and users to better personalise support and growth strategies?

- When and how should we educate creators to maximise their long-term retention and performance?

- How can we simplify complex data sets using statistical tools to better diagnose issues and recommend scalable solutions?

Key Responsibilities

- Analyse local and global content and user trends to identify growth opportunities within the EU LIVE ecosystem.

- Participate in the growth and exploration of future AI implementation and direction and be responsible for the data analysis of core business modules.

- Create, automate, and maintain reports and dashboards to track performance, OKRs, and key strategic initiatives.

- Develop data models and perform in-depth analyses to support content strategy, creator segmentation, and user engagement.

- Translate complex data into actionable insights for regional teams and leadership.

- Collaborate closely with cross-functional teams (e.g., Creator Management, Product, Strategy) to inform decision-making.

- Present findings clearly to both technical and non-technical stakeholders to influence business strategy.

任职要求 / Requirements

Minimum Qualifications

- Currently pursuing an Undergraduate degree in Statistics, Engineering, Economics, or a related quantitative discipline.

- Experience with SQL, Python or another related programming language

- To succeed in the role, you need to be a proactive, self-driven and impact driven person

- Be able to work with cross-functional teams in a fast speed environment

- Demonstrated ability to communicate findings clearly to both technical and non-technical audiences

- Comfortable working with large datasets and drawing actionable conclusions under ambiguity

- Fast learner with the ability to quickly grasp new tools, concepts, and workflows, then apply them effectively to practical business problems

- Strong analytical thinking and ability to turn ambiguous business questions into structured analysis

Preferred Qualifications

- Experience with visualisation platforms (Tableau, Looker, Power BI) and narrative based story telling with data is a plus

- Social Media content creation experience and familiarity with live-streaming platforms is strongly preferred

- Familiarity with statistical concepts such as segmentation, regression, or predictive modelling

- Previous internship, academic project, or work experience involving data analysis or business analytics

- Exposure to A/B testing or experimentation frameworks

- Familiarity with OKR frameworks or performance metric design