Senior Data Analyst - Logistics & Fulfillment Optimization

Senior Data Analyst - Logistics & Fulfillment Optimization

Full-Time 31500 - 38500 £ / year (est.) No working from home possible
TikTok

At a Glance

  • Tasks: Analyse logistics data, build dashboards, and provide insights for efficiency improvements.
  • Company: Join TikTok's dynamic UK & EU logistics analytics team.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborate with product and ETL teams to drive strategic decisions.
  • Why this job: Make a real impact on logistics operations in a fast-paced environment.
  • Qualifications: Experience in data analysis and fluency in Chinese for stakeholder communication.

The predicted salary is between 31500 - 38500 £ per year.

Tik Tok is seeking a data analyst to join its UK & EU logistics analytics team.

You will analyze data across logistics operations, build performance dashboards, and provide insights to improve fulfillment and warehouse efficiency.

You will collaborate with product and ETL teams to define data requirements, develop data products, and support strategic decisions with rigorous statistical analysis.

Fluency in Chinese is required for stakeholder communication with China-based teams.

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Senior Data Analyst - Logistics & Fulfillment Optimization employer: TikTok

At TikTok, we pride ourselves on being an exceptional employer in Greater London, offering a vibrant and inclusive work culture that celebrates diversity and creativity. Our employees benefit from extensive growth opportunities, including workshops and mentorship programmes, designed to enhance their skills and career progression. Join us to be part of a dynamic team that values unique perspectives and fosters meaningful relationships within the livestream ecosystem.

TikTok

Contact Details:

TikTok Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Analyst - Logistics & Fulfillment Optimization

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When you find a suitable opening like Senior Data Analyst - Logistics & Fulfillment Optimization at TikTok, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Data Analyst - Logistics & Fulfillment Optimization

Data Analysis
Performance Dashboard Development
Logistics Operations Analysis
Statistical Analysis
Collaboration with Product Teams
ETL Processes
Data Requirements Definition

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at TikTok, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at TikTok. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at TikTok

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Get Comfortable with Python and R

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Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.