Data Tech Staff - EY Global Delivery Services

Join our dynamic EY Tax team, where our global expertise and deep technical knowledge across all tax disciplines are enhanced by the latest in innovation and cutting-edge technology. We pride ourselves on exceptional client service, strong accountability, and governance, making us the top choice for industry executives and the largest revenue-generating US and global tax practice.

Our Business Tax Services (BTS) group focuses on the critical impact of tax on business and personal ambitions, going beyond obligations to uncover opportunities and manage risks. We cater to a diverse clientele, including privately held and family-owned businesses, individuals, family offices, public corporations, and tax-exempt organizations, leveraging our industry expertise and global insights to help our clients navigate today's economy and shape a lasting legacy.

• Configure and calculate client research credits using EY's specialized platform, EY R&D Incentives Prodigy.

• Utilize tools like Excel, Alteryx, Access, and Python to analyze and refine client data for accurate tax processing.

• Conduct precise tax calculations and review reports generated by EY R&D Incentives Prodigy and other depreciation software.

• Create web applications within Alteryx to enhance data analysis and reporting capabilities.

• Detect and communicate any data-related complexities or issues to the Services Manager for resolution.

Job requirements and preferences:

• Required qualifications:

  o A predicted undergraduate or graduate degree in Accounting, Computer Science, Business Analytics, or related field; supported by a strong academic record.

  o Practical experience using Microsoft Office 365 Suite and ability to learn other software applications.

  o Strong written and verbal communication skills.

  o The ability and willingness to travel and work in excess of standard hours when necessary.

  o Access to reliable transportation to/from the EY office and client sites. A driver’s license is strongly recommended as ride share and public transportation options may not be available in all locations.

• Preferred qualifications:

  o Ability to assimilate new knowledge.

  o Ability to understand business challenges and translate them into value-add analytics solutions.

  o Excellent teaming skills and willingness to lead client projects from a data perspective in the future.

  o Strong analytical and problem-solving skills, including data complexity/issue identification and communication to upper-level team members.

  o Strong critical thinking skills and ability to interpret data.

  o Strong organizational skills and attention to detail.