Description
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. Team Introduction Our Data-TnS-PUO Team is responsible for providing instant troubleshooting and consulting services to internal platform users. The team is mainly responsible for the following: receiving and resolving users' issues, communicating with our product and engineering teams, analyzing and providing the best solutions, maintaining the SOP, writing daily reports, following the escalation process, and providing top-quality user experiences. We are continually expanding this team in Singapore across multiple time zones to ensure user satisfaction and drive product optimization. The role: We are looking for an Operations Data Analyst to evaluate our team's operations and make recommendations to improve operational effectiveness. To be successful as an operations analyst, you should be able to analyze complex data sets, identify shortcomings or opportunities, work closely with management and user operations specialists and data business partners to fulfill data-related requirements, and implement changes. What you will be doing: - Identify potential operational requirements and opportunities for improvement through data analysis. - Analyze internal platform users' feedback data to build an in-depth understanding of our platforms, and determine appropriate methods to build up, analyze and utilize operations data metrics. - Working very closely with management and fulfilling data analyzing requirements from leaders. - Adapt analysis to the specific operational research questions and build-up forecasting models by using a range of data sources and research methodologies. - Partner with other data stakeholders (product managers, data BP, data scientist) to carry out adhoc data projects. - Construct and iterate core business metrics systems in multiple operations domains. - Build internal operations data dashboards and provide constructive suggestions on metrics optimisation. - Automate operations data abnormality detection, data monitoring and periodic data reporting. - Assist and support training, quality auditing, efficiency enhancement and other users feedback projects.Minimum Qualifications: - Proficient in Python and SQL to conduct statistical modelling or data analysis - Strong analytical and problem-solving skills - Strong multitasking and time management skills - Strong stakeholders management and communication skills Preferred Qualifications: - Relevant Bachelor's degree in a business field with a focus on Quantitative / Research methods; or a Graduate degree in Science, Mathematics, Operations, business, digital marketing or survey-based research methods is a plus - 3+ years of experience as a Data Analyst or in a similar position is required - Cross regional collaboration project experience is preferred TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
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