Financial Management And Analytics Data Engineer

Job description

1. Work directly with users and IT to understand goals, gather requirements, and development of automate process data pipelines. 2. Build and support robust data pipelines to support analytical needs and meet deadline. 3. Have Data pipeline processing knowledge and ability to efficiently cross check the quality of data. 4. Create reports, visualization dashboards and help partners monitor business trends and key index. 5. Monitor key index and business processes to identify the difference 6. Assist with implement Machine learning and AI tools 1. Proficiency in Python, SQL ,VBA or other programming languages. 2. Strong understanding of data warehousing principles, pipelines, and APIs. 3. Experience with data visualization tool such as Tableau or Power BI . 4. Strong problem-solving skills. 5. Attention to detail and Good presentation skills. 6. Knowledge and experience with application of statistical techniques (regression, various statistical tests, etc.) and a variety of machine learning techniques (clustering, GBDT, neural network, PCA, etc.) will be a plus. 7. Knowledge and experience with Cloud solution and Large Language model will be a plus. 8. Effectively incorporate generative AI tool (e.g. ChatGPT) into daily work processes to enhance productivity and efficiency 107697 | Data & AI | Professional | Non-Executive | Allianz Taiwan | Full-Time | Permanent Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. Join us. Let's care for tomorrow.