VAT Senior Analyst

About the role

This role guides VAT compliance for EMEA customers and shapes product handling of tax rules. The position trains operations teams and partners with product to turn regulatory complexity into reliable filings.

Data roles turn raw information into decisions. Analysts query databases and build dashboards. Data scientists build models that predict outcomes. Data engineers build the pipelines that move and store data. All three work closely with business teams and need a mix of statistics, coding, and communication. Nearly every modern company runs on data teams, from startups to banks. A strong portfolio of past analyses matters more than degrees in many hiring decisions.

Key facts

What you'll do

Business decisions on VAT registration, rate application, and EMEA compliance are analyzed and advised to customers and stakeholders. Tax operations across EMEA markets are trained and overseen so that Anrok and customer filings remain accurate and timely. Customer escalations and implementations involving EMEA global tax compliance are supported to reduce resolution time. Regulatory changes across EMEA are tracked and translated into clear, actionable guidance for the business and its customers.

Requirements

3+ years of experience in GST/VAT compliance are required to demonstrate practical exposure to complex filings. Strong working knowledge of VAT registration, filing, and reporting requirements must be applied to EMEA scenarios. The right to work in Ireland is required, and candidates must be based in Dublin. Capacity to learn new tools and experiment with AI is required to build solutions and explain outcomes.

Practical notes

In-person collaboration occurs three days per week to align on compliance and product priorities. Typical interview steps

Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.

Good to know

Tax compliance software automates calculations, monitoring, and filing to reduce manual errors. AI tools can generate code, draft documents, and streamline regulatory workflows in technical roles. Cross functional collaboration aligns product, operations, and compliance teams around evolving tax rules. Global markets require adaptable systems that respond to frequent legislative updates. Clear communication translates complex regulations into practical guidance for diverse customers.

Questions to ask

Good questions to ask the employer in the interview: what does success look like in the first six months, how is the team structured, what is the current biggest challenge, and how are decisions made. Asking about growth paths and the review process is also well received. Employers expect questions, and good ones show preparation.

Career growth

Data careers grow toward senior analyst, staff data scientist, or data engineering lead. Many professionals specialize in machine learning, analytics, or infrastructure. Cross-functional work with product and engineering teams becomes more important at senior levels. The field changes quickly, so continuous learning is part of the job. Professionals who can translate numbers into decisions tend to advance fastest.

About the company

Anrok is the leading tax automation platform enabling businesses to expand globally without compliance complexity. As the digital economy has grown 6x over the last decade, software businesses have gone from not worrying about sales tax to needing to monitor exposure, calculate rates, and file returns across 20+ US states and many countries worldwide.