Data Product Owner

该职位来源于猎聘 I. Job DescriptionReport and Use Cases Management o Responsible for the design, development, and optimization of reports on consumer data and sales channel data, ensuring the accuracy, integrity, and timeliness of data to provide strong support for business decisions.Lead the iterative update of use cases, deeply understand business requirements, mine data value, and promote the implementation of data-driven business solutions to improve business efficiency and decision-making quality.Data Platform Operation and Iteration o Undertake the daily operation and maintenance work of the data platform, including but not limited to the monitoring and maintenance of data collection, storage, processing, and transmission processes. Solve various technical problems in a timely manner to ensure the stable operation of the platform.Participate in the iterative update projects of the data platform, work closely with the technical team, propose platform optimization suggestions based on the changes in business development and data requirements, and promote their implementation to enhance the performance, functionality, and usability of the platform.Cross-departmental Collaboration and Communication o Collaborate closely with multiple teams such as data analyst, data engineers, and business stakeholders to collect and sort out business requirements, translate them into the functions and features of data products, and ensure the close integration of data products with business goals.Communicate the value, functions, and usage methods of data products to team members and stakeholders at different levels in a clear and accurate manner to promote the effective promotion and application of data products within the organization.II. QualificationsWork Experience: Have 3 - 5 years of work experience in data product management or related fields. Candidates with successful cases in data product design, development, and delivery are preferred.Technical Skills o Familiar with big data models, possess solid data modeling, ETL(Extract, Transform, Load), and SQL skills, and be able to proficiently operate and analyze large-scale data sets.Understand mainstream data warehouse architectures and data lake technologies, such as Hive, Snowflake, Delta Lake, Dataphin etc., and have a certain understanding and practical experience in the architecture design and technology selection of data platforms.Master at least one data visualization tool, such as PowerBI, QuickBI etc., and be able to transform data into intuitive and understandable visual reports and dashboards to meet the data analysis needs of business users.Business Understanding o Have an in-depth understanding of the consumer business and sales channels, be able to quickly grasp business processes and key indicators, accurately identify business pain points and data requirements, and translate data insights into practical business improvement suggestions and action plans.Possess a keen business acumen and a data-driven mindset, be able to discover potential business opportunities and risks from massive data, and provide data support and basis for the company's strategic decision-making.English Proficiency: Have good English listening, speaking, reading, and writing skills, be able to communicate and collaborate smoothly with international teams, and read and write English technical documents and business reports.Other Abilities o Excellent problem-solving and logical thinking abilities, be able to quickly locate problems in complex data environments and business scenarios and propose effective solutions.Good team spirit and communication and coordination abilities, possess a strong sense of responsibility and execution ability, be able to complete work tasks on time and ensure work quality under high-pressure environments.Have a strong learning ability and self-motivation, have a strong interest in new technologies and new business fields, be able to continuously improve their professional skills and knowledge reserves, and adapt to the rapidly changing business and technical environment.