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Sr Tax Technology Analyst

Sr Tax Technology Analyst

CompanyTarget
LocationBrooklyn Park, MN, USA
Salary$69000 – $124200
TypeFull-Time
DegreesBachelor’s
Experience LevelSenior

Requirements

  • Four-year degree in Information Technology, Accounting, Finance, or a related field, or equivalent experience.
  • 3+ years of experience in indirect tax technology or a similar field.
  • In-depth knowledge of Sales and Use Tax regulations and systems.
  • Proficiency with tax technology tools and applications – including Vertex O-Series, Vertex Returns, Alteryx, SQL, and RPA – with experience in using these tools to streamline tax compliance, automate workflows, and enhance data accuracy and reporting.
  • Strong skills in data analytics, insights, and visualization tools (e.g., Domo, Tableau, Power BI).
  • Excellent written and verbal communication skills, with the ability to articulate complex tax concepts to diverse audiences.
  • Analytical mindset with a strong controls orientation and attention to detail.
  • Proven ability to manage competing priorities and meet deadlines in a fast-paced environment.

Responsibilities

  • Drive initiatives to analyze and optimize item classification processes to maintain accurate tax treatment.
  • Perform regular reviews to ensure tax rate updates and item tax adjustments are accurately implemented and validated within the tax calculation engine.
  • Collect, manage, and prepare data for integration into tax return software, ensuring alignment with Sales and Use Tax (SUT) compliance requirements while enhancing operational efficiency.
  • Design and implement Alteryx workflows to streamline tax processes and improve analytics capabilities.
  • Apply innovative solutions – including generative AI, machine learning, and RPA – to automate repetitive tasks and enhance accuracy in tax reporting.
  • Act as a liaison between Tax, Product, and Tech teams, ensuring smooth project execution and alignment with organizational goals.
  • Lead the testing and validation of tax system updates and integrations to ensure seamless operation and compliance.
  • Leverage data visualization tools to deliver actionable insights and support decision-making.

Preferred Qualifications

  • Familiarity with machine learning, generative AI and statistical modeling is a plus.
  • Background in process automation and optimization initiatives.