At a Glance
- Tasks: Analyse data trends and create reports to drive engagement on TikTok Live.
- Company: Join the dynamic team at TikTok, a leader in social media innovation.
- Benefits: Gain real-world experience, develop skills, and enjoy a vibrant work culture.
- Other info: Collaborate with diverse teams and present insights to influence business decisions.
- Why this job: Make an impact by shaping strategies for creators and users in a fast-paced environment.
- Qualifications: Pursuing a degree in quantitative fields; experience with SQL or Python is a plus.
The predicted salary is between 20000 - 30000 £ per year.
Location: London
Employment Type: Intern
Responsibilities
Team Introduction: 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, localizing 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.
As a project intern, you will engage in impactful short‑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.
- Analyze local and global content and user trends to identify growth opportunities within the EU LIVE ecosystem.
- 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.
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?
Qualifications
Minimum Qualifications:
- Currently pursuing a Bachelor's or Master's Degree in quantitative fields such as statistics, engineering, economics, etc.
- Proactive, self‑driven and impact‑driven.
- Ability to work with cross‑functional teams in a fast‑paced environment.
Preferred Qualifications:
- Experience with SQL, Python or another related programming language.
- Experience with visualisation platforms and narrative based storytelling with data.
- Social media content creation experience and familiarity with livestreaming platforms.
Data Analyst Project Intern (TikTok Live) - 2026 Start (BS/MS) London Product - Data analysis P[...] employer: Ellis Technologies, Inc.
As a Data Analyst Project Intern at TikTok Live in London, you will be part of a dynamic team that fosters innovation and creativity, providing you with invaluable real-world experience in a fast-paced environment. The company prioritises employee growth through hands-on learning opportunities and collaboration across diverse teams, ensuring that your contributions directly impact the creator community. With a vibrant work culture that encourages proactive engagement and personal development, TikTok Live stands out as an exceptional employer for those seeking meaningful and rewarding career experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst Project Intern (TikTok Live) - 2026 Start (BS/MS) London Product - Data analysis P[...]
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Data Analyst Project Intern (TikTok Live) - 2026 Start (BS/MS) London Product - Data analysis P[...]
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Ellis Technologies, Inc. will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Ellis Technologies, Inc.
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Ellis Technologies, Inc..
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Ellis Technologies, Inc. that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
