Job Description

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

EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.