Responsibilities
Team Introduction: Tik Tok - Data Analysis Department is responsible for data analysis work in different business directions of ByteDance. Business lines cover both more mature products such as Tik Tok and various innovative projects that are being incubated. Here, we can guide innovative businesses from 0 to 1 through data, starting from the ground up we can also discover breakthrough directions through analysis and enable mature products to continue to grow. Our responsibility is to find the most appropriate indicators and dimensions from the PB-level data generated every day, find insights that can be optimized from the most real business phenomena, and implement our findings into growth. Choosing a data analysis team means choosing to do challenging things with excellent people and become an irreplaceable analyst and data science expert. 1. Responsible for the data analysis of Douyin's video business (multiple product forms such as Xigua Video and Douyin Selection). The work content will involve multiple business modules such as content, growth, monetization, and author ecology 2. Analyze various factors that affect business improvement and growth, various business details, and combine business goals to gain insight into the current business status and problems, and provide an overall product/operation optimization plan that can be implemented 3. Cooperate with product/operation/recommendation to promote the implementation of the optimization plan and bring about actual improvement and growth of the business 4. Responsible for the design and analysis of various A/B experiments in business, product optimization effect evaluation, operation strategy or market activity analysis and evaluation, core indicator change analysis, client version effect evaluation, etc. 5. Carry out special analysis around business goals, describe the current business status, gain insight into problems and opportunities, and provide specific solutions and promote the effective implementation of product strategies.
Qualifications
1. Priority is given to those with majors in mathematics, statistics, and computer science 2. Priority is given to those with experience in data analysis in the video industry, front-line product or operational business optimization 3. Clear logic, sensitivity to data, able to discover the connection between business details and data, and promote optimization through data indicators 4. Good team cooperation and communication skills 5. Proficient in SQL, proficient in using R/Python for data analysis and mining, and mastering BI tools such as Tableau is preferred 6. Interested in the content industry, and those with in-depth thinking or analysis experience in content, growth, commercialization, etc. are preferred.
