Avalara - Senior Indirect Tax Researcher

We are looking for a person who is excited about tax research and love technology. If you are analyzing complex legal and compliance tax issues and interested in joining a supportive team in a collaborative work environment to enhance professional skill development. This is your opportunity to join a team at a fast-growing Software as a Service (SaaS) company doing what you are passionate about. You will report to Manager, Indirect Tax

Responsibilities:

- Ensuring the accuracy and timeliness of tax compliance information is important. Given the dynamic nature of indirect tax law trends, a commitment to learning and staying current on developments is necessary in this role.

- Research and interpret Sales and Use Tax laws, including reporting and remittance requirements, to keep Avalara tax automation products in compliance with North American tax laws.

- Maintain existing taxability rules for assigned jurisdictions by overseeing tax law changes and converting these changes into both human readable explanations and machine-readable formats using the latest AI-enabled proprietary technology.

- Conduct unit tests to validate the results of transactions pre-production.

- Collaborate with product management and engineering teams to implement solutions.

- Thoroughly detail research findings, providing comprehensive summaries and legal citations.

- Identify opportunities for process automation, tooling optimization, and reducing redundancy to enhance efficiency.

Qualifications:

- A natural curiosity about technology and an interest in innovation and learning about new areas of transaction taxes

- A bachelor's degree, or equivalent, in finance, economics, business administration, law, or accounting with 8+ years of experience in indirect tax in advisory or consulting roles, or a master's in finance, business administration, law, economics, or accounting with 6 years of experience.

- Excellent research skills, including a logical, creative, and detailed approach to drilling down to specific data to surface information that is important to the accuracy of the published content.