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Data Analyst
hace 2 semanas
Job Description:
- Support and test system configuration, and build data validation processes for indirect tax rules for existing (and proposed) business models and markets.
- Test new and existing features in in-house financial reporting tools (identify bugs, suggest and implement improvements).
- Work and collaborate with various internal stakeholders on projects including system testing, data sharing, tax reporting.
- Together with the team, build (automated) processes to improve efficiency and accuracy in global tax reporting and tax system monitoring.
- Acquire and analyze data across multiple lines of business including Mobility and Delivery.
- Support building and testing reports in SQL to meet various countries' tax and data reporting requirements.
- Using programming skills, produce periodic reports or statistical analysis for internal stakeholders that enable effective business analysis and decision making.
What you'll need
- 2-4 years of professional experience in industry or practice
- Degree in computer science, data science, finance, accounting, tax, math, physics and/or any other related field
- Good experience with Python or other object-oriented programming language
- Good SQL knowledge and a proper understanding of relational database
- Robust knowledge of MS Office, especially MS Excel
- Comfortable handling big data & performing complex analysis
- Good English written and verbal communication skills
- Excellent analytic skills and passion for indirect tax rules/logic/data analysis
- Critical thinker ready to problem solve within different areas of the operations and finance organizations
- Comfortable diving deep into technical problems and working through solutions with subject matter experts
- Attention to detail (being right the first time matters a lot to us)
- Self-motivated, passionate, dedicated, 'can-do' attitude and a positive outlook
Bonus points
- Experience in working in a Finance organization
- Experience in building complex data analytics related programs in solving real-life problems
- Experience in building dashboard and visualizing data
- Experience in building Machine Learning models
- Multi-lingual
