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Shenzhen, China6 months ago
Grade
Senior
Experience
from 5 years
English level
B2, upper-intermediate
An email or a Telegram message to the recruiter
Responsible for the design, development, maintenance, and optimization of the corporate data warehouse, creating a data warehouse architecture that meets business requirements, integrating, cleaning, transforming, and loading (ETL) multi-source data, ensuring data accuracy, completeness, and timeliness, supporting the accumulation and management of corporate data. Responsible for the full cycle of BI report development, including requirements analysis, metric definition, data extraction, visualization, design of interactive dashboards, standard reports, and reports for special analytical research, meeting the sales department's data analysis and decision support needs, transforming raw data into actionable business insights. Uses Python or Java for data development, scripting, optimizing data processing, improving data development efficiency and system performance, solving technical problems in data development and BI report creation. Interacts with business departments to analyze data requirements, provides data consultation and technical support, promotes data-driven business decision-making, participates in monitoring and optimizing data quality, creates data validation mechanisms, handles data anomaly issues. Participates in interdepartmental projects, uses English as a working language for communication, including interaction with overseas teams, reviewing technical documentation in English, writing technical reports in English, etc., ensuring the smooth progress of work-related data across regions and teams. Monitors industry data processing technology development trends, implements suitable technologies and methods, continuously optimizes data warehouse architecture, ETL processes, and BI report systems, enhancing data service capabilities.
Bachelor's degree or higher, preferably in Computer Science, Data Science, Statistics, Information Management, or related fields; At least 5 years of experience in BI development and data warehouse development, practical experience in the full cycle of data warehouse construction and BI report development, preferably knowledge of multi-level data warehouse modeling methodology (ODS, DW, DM); Excellent knowledge of SQL, confident use of major databases (e.g., MySQL, Oracle, Hive, etc.), skills in writing complex SQL queries, optimizing and tuning database performance; Knowledge of Python or Java programming languages, ability to use them for data processing, scripting, optimizing ETL processes, practical experience in relevant projects; Proficient in BI tools (e.g., Tableau, Power BI, FineBI, etc.), ability to independently complete the full cycle of work from data extraction and cleaning to creating visualized reports and designing dashboards, preferably knowledge of best practices in visual design; Knowledge of ETL tools (e.g., Kettle, Informatica, etc.), understanding of the core logic and optimization methods for data extraction, transformation, and loading, ability to handle complex data integration scenarios; Good business understanding, ability to quickly analyze business requirements and translate them into data development and BI report requirements, preferably skills in building a metrics system; English as a working language, confident reading of technical documentation in English, good oral and written communication skills in English, ability to independently conduct interdepartmental and interregional communication in English, perform written correspondence in English, technical reports, and participate in meetings.
Knowledge of the BigQuery ecosystem will be an advantage.
Responsible for the design, development, maintenance, and optimization of the corporate data warehouse, creating a data warehouse architecture that meets business requirements, integrating, cleaning, transforming, and loading (ETL) multi-source data, ensuring data accuracy, completeness, and timeliness, supporting the accumulation and management of corporate data. Responsible for the full cycle of BI report development, including requirements analysis, metric definition, data extraction, visualization, design of interactive dashboards, standard reports, and reports for special analytical research, meeting the sales department's data analysis and decision support needs, transforming raw data into actionable business insights. Uses Python or Java for data development, scripting, optimizing data processing, improving data development efficiency and system performance, solving technical problems in data development and BI report creation. Interacts with business departments to analyze data requirements, provides data consultation and technical support, promotes data-driven business decision-making, participates in monitoring and optimizing data quality, creates data validation mechanisms, handles data anomaly issues. Participates in interdepartmental projects, uses English as a working language for communication, including interaction with overseas teams, reviewing technical documentation in English, writing technical reports in English, etc., ensuring the smooth progress of work-related data across regions and teams. Monitors industry data processing technology development trends, implements suitable technologies and methods, continuously optimizes data warehouse architecture, ETL processes, and BI report systems, enhancing data service capabilities.
Requirements Bachelor's degree or higher, preferably in Computer Science, Data Science, Statistics, Information Management, or related fields; At least 5 years of experience in BI development and data warehouse development, practical experience in the full cycle of data warehouse construction and BI report development, preferably knowledge of multi-level data warehouse modeling methodology (ODS, DW, DM); Excellent knowledge of SQL, confident use of major databases (e.g., MySQL, Oracle, Hive, etc.), skills in writing complex SQL queries, optimizing and tuning database performance; Knowledge of Python or Java programming languages, ability to use them for data processing, scripting, optimizing ETL processes, practical experience in relevant projects; Proficient in BI tools (e.g., Tableau, Power BI, FineBI, etc.), ability to independently complete the full cycle of work from data extraction and cleaning to creating visualized reports and designing dashboards, preferably knowledge of best practices in visual design; Knowledge of ETL tools (e.g., Kettle, Informatica, etc.), understanding of the core logic and optimization methods for data extraction, transformation, and loading, ability to handle complex data integration scenarios; Good business understanding, ability to quickly analyze business requirements and translate them into data development and BI report requirements, preferably skills in building a metrics system; Knowledge of the BigQuery ecosystem will be an advantage. English as a working language, confident reading of technical documentation in English, good oral and written communication skills in English, ability to independently conduct interdepartmental and interregional communication in English, perform written correspondence in English, technical reports, and participate in meetings.
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