Job description
Job Responsibilities:
Responsible for data collection, organization, cleaning, and analysis for the company's (products/business lines/industries) to provide data support for business decisions and product optimization;
Explore business growth points through multi-dimensional analysis, monitor and interpret key business indicators, and identify potential problems and opportunities;
Establish and improve business data analysis models, produce high-quality analysis reports and visual data dashboards;
Proactively promote data-driven business process optimization and foster a data-driven decision-making culture;
Collaborate deeply with cross-departmental teams including product, operations, marketing, and technology to translate business needs into data requirements, and track and quantify the effects of various operational projects;
Participate in data governance, data system construction, and data standard formulation, assisting in improving data quality and analysis efficiency;
Support advanced statistical analysis to provide insights and recommendations for the company's strategy.
Job Requirements:
Bachelor's degree or above, preferably in statistics, mathematics, economics, computer science, information management, or related fields; 3 years or more of relevant data analysis experience in large internet, finance, retail, fast-moving consumer goods, or other industries;
Proficient in SQL, with excellent data extraction, data processing, and complex query capabilities, and skilled in one or more analysis tools (such as Excel/Python/R/SAS/Tableau/PowerBI, etc.);
Solid data analysis, business modeling, and data visualization skills, familiarity with mainstream machine learning/data mining algorithms is preferred; strong logical analysis ability and business sensitivity, capable of independently addressing open-ended analytical problems;
Excellent communication skills and ability to drive cross-departmental collaboration, experience in consulting projects or management is preferred;
Experience in statistical analysis, advanced modeling, A/B testing, or large data warehouse/data governance is preferred;
Possess a good data awareness, willingness to continuously learn, self-driven, and a spirit of teamwork.