Requirements include a background in finance, statistics and/or mathematics, preferably also experience with data analysis and/or data mining.
Fluency in English and very good oral and written communication skills are necessary.
Experience and knowledge in banking, finance and/or accounting will be desirable.
Key Responsibilities:
- Run quality checks against data sources and report all data issues. Detect data anomalies and identify sources of data problems. Recommend data quality solutions.
- Gathers operational data from various cross functional stakeholders to examine past business performance
- Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
- May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis as well as process automation in Python
- Use visualization techniques to display data and the results of analysis in clear straightforward presentations that can be understood by non-technical readers.
- Support downstream consumption plans with back-office technology partners to ensure completeness and consistency throughout data flows.
- Contribute to senior management level presentations to communicate strategy, programs and month over month progress.
Required Skills and Qualifications:
- 3+ years of relevant work experience including data analytics.
- Familiarity with data visualization tools e.g., Tableau, Power BI or equivalent
- Practical experience in Python/R
- Data and Results oriented with an excellent attention to detail.
- Experience working closely with technology teams.
- Experience in interacting across multiple teams.
- At least BA degree in economics/banking/statistics/mathematics/technical science
We offer:
- Cooperation with a high quality, international, multicultural and global team.
- Work in a friendly and diversified environment, appreciating differences in style and perspective and using them to add value to decisions leading to organizational success.
- Management supporting balanced and agile work (flexible working hours, home office).
- Attractive benefits package (Benefit System, medical care, pension plan etc.).
- A chance to make a difference with various affinity networks and charity initiatives.
Decision Management
Time Type:
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