Financial Management and Analytics-Data Engineer
Allianz SE1 month ago
Taiwan (city not specified)Mid Level
Responsibilities
- Work with users and IT to understand goals, gather requirements, and develop automated data pipeline processes.
- Build and support robust data pipelines for analytical needs and deadlines.
- Check data quality and cross-check pipeline processing results.
- Create reports and visualization dashboards to help partners monitor business trends and key indicators.
- Monitor key indicators and business processes to identify differences.
- Assist with implementing machine learning and AI tools.
- Incorporate generative AI tools into daily work processes to improve productivity and efficiency.
Requirements
- Proficiency in Python, SQL, VBA, or other programming languages.
- Strong understanding of data warehousing principles, data pipelines, and APIs.
- Experience with data visualization tools such as Tableau or Power BI.
- Strong problem-solving, attention to detail, and presentation skills.
- Knowledge of statistical techniques such as regression and statistical tests is preferred.
- Knowledge of machine learning techniques such as clustering, GBDT, neural networks, and PCA is preferred.
- Knowledge and experience with cloud solutions and large language models is preferred.
Benefits
- Full-time, permanent employment.
- Allianz describes an inclusive workplace focused on equal opportunity, integrity, fairness, inclusion, and trust.
About Allianz SE
Allianz SE is a Munich-based public company that provides property-casualty, life and health insurance, and asset management to individuals and businesses worldwide. It earns premiums and investment-management fees, operating through brands such as Allianz Commercial and asset managers including PIMCO and Allianz Global Investors. Founded in 1890 and listed on the Frankfurt Stock Exchange, it serves over 100 million customers in about 70 countries.