Data Analyst (English version)

Data Analyst Role Summary As a Data Analyst, you will support business decision-making by gathering, organizing, and interpreting information to identify trends, opportunities, and areas for improvement. You will collaborate with stakeholders across the organization to develop reports, dashboards, and solutions that provide visibility into key business activities and performance. You will contribute to projects focused on process improvement, operational efficiency, and organizational effectiveness, helping teams leverage information and technology to achieve business goals and drive continuous improvement. Responsibilities Identify and solve ambiguous problems, transforming data into clear, actionable insights that directly influence leadership decisions. Build data pipelines, reports, best practices, and frameworks that enable analysts and other stakeholders across the organization. Transform complex data formats into data‑driven metrics, intelligent dashboards, and AI‑enabled applications. Modernize manual workflows into scalable, automated, and insight‑driven systems, leveraging statistical analysis, cloud data platforms, and AI technologies. The ideal candidate in a few words: Required Qualifications Bachelor's degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics, Engineering, a related technical field, or equivalent experience. Advanced experience using analytics to solve engineering problems, performing statistical analysis, and coding (e.g. SQL, Python, R). Proven experience creating dashboards, reports, and structured datasets to support business and engineering decisions. Strong analytical, problem‑solving, and statistical analysis skills. Excellent verbal and written communication skills in English, Mandarin or French is a plus. Preferred Qualifications Experience with GCP specific analytics tools and data management. Experience designing data pipelines (ETL) and model data. Practical experience with AI/ML models, Large Langua