Data Analyst, Performance Management

Responsibilities

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.

About the Team

The success of the data business model hinges on the supply of a large volume of high-quality labeled data that will grow exponentially as our business scales up. However, the current cost of data labeling is excessively high. The Data Solutions team is built to understand data strategically at scale for all Global Business Solution (GBS) business needs. The Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. The Data Solutions Team's responsibility includes infrastructure construction, recognition capabilities management, and global labeling delivery management.

About The Role

The role seeks to drive clarity, solve ambiguous, challenging business problems using data-driven approaches to dig into complex data sets and derive data-driven business decision-making. With strong data analytics skills, propose and own data analysis (including coding, analytics, and experimentation) to drive business insight and facilitate decisions. You will get exposure to how the business uses data in our day-to-day decision-making that runs and drives the smooth operations of labeling.

Responsibilities

1. Identify trends, patterns, and correlations in data to support business decision-making;
2. Solve ambiguous, challenging business problems using data-driven approaches to provide clarity and direction. Propose and own data analysis (including modeling, coding, analytics, and experimentation) to drive business insight and facilitate the decision-making process;
3. Develop and present metrics, comprehensive reports, and dashboards that provide meaningful insights to stakeholders;
4. Collaborate with cross-functional teams and stakeholders to understand business requirements and translate them into data analytics solutions;
5. Develop end-to-end request management framework and process for ongoing request collection exercise;
6. Present findings and insights to senior management and key stakeholders, effectively communicating complex information in a clear and concise manner;
7. Perform statistical analysis, hypothesis testing, and use machine learning techniques to build predictive models;
8. Communicate findings and insights to stakeholders using visualization tools and presentations.

Qualifications

Minimum Qualifications:

1. Degree in Computer Science, Information Systems, Data Science, or equivalent;
2. 1-3 years of experience in data analytics (including experience in optimization, reporting, visualization, and data life cycle management) is required;
3. Strong knowledge of statistical analysis, data modeling, and data mining techniques with excellent analytical, problem-solving, and critical-thinking skills;
4. Proficiency in SQL and familiarity with at least one programming language such as Python or R; experience with common data science toolkits, such as Pandas, NumPy, Matplotlib, Scikit-learn; experience with TensorFlow or PyTorch is a plus.

Preferred Qualifications:

1. Strong project management skillsets (excellent problem-solving, task prioritization, follow-up, and eager learner);
2. Excellent communication and presentation skills, with the ability to effectively convey complex information to both technical and non-technical stakeholders;
3. Demonstrated business acumen and ability to understand and align data analytics initiatives with organizational goals.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform