Senior Tax Analyst

What you’ll need

• 3-6 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

What you'll do

• 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.

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