Data Analyst in Tax Operations, PCS - Tax Engine
DESCRIPTION
Amazon is looking for a Business Data Analyst in Tax PCS (Product Classification Services) Operations team in Bratislava, Slovakia as part of the Global Tax Calculation Services Program. Tax Engine team is a part of the Global Tax Calculation Services Program, comprised of tax professionals and software engineers that are responsible for providing end-to-end global transaction tax calculation solutions (sales and use taxes, value-added taxes, good and services taxes, and other consumption taxes) to Amazon and thousands of other merchants selling on Amazon marketplaces and other e-commerce platforms.
This individual will support the rapid growth of this team by developing and monitoring business metrics, data mining, identifying trends and business opportunities and collaborating with internal stakeholders to drive the business. The ideal candidate will be a highly analytical, detail oriented individual, who possess expertise in both qualitative and quantitative analysis with a passion for delivering actionable insights to key stakeholders. This person will communicate effectively across teams, locations and levels while combining advanced reporting with strong critical thinking and project management skills. Success in the role will have a large impact on improving the team performance and growing the business.
This position is office-based, with some flexibility to work remotely in exceptional circumstances in line with Amazon’s current work guidance. Amazon encourages open communication about unique needs for flexible arrangements.
Base pay for this position starts from EUR 2050 gross per month and salary depends on the skills and requirements, there will be further pay components such as a sign on bonus and the eligibility to participate in a restricted stock unit scheme operated independently by Amazon.com Inc. in USA. Company benefits apply subject to further terms, including annual membership in medical clinic, life insurance, retirement pension, meal voucher card, career development.
Key job responsibilities
- Develop, implement, and maintain leading-edge analytics approach, taking complicated problems and building simple frameworks
- Identify trends and opportunities for growth through analysis of complex datasets
- Create best-practice reports based on data mining, analysis, and visualization
- Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data
- Work directly with managers and users to gather requirements, provide status updates, and build relationships
About the team
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at TEB, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences inspire us to never stop embracing our uniqueness.
BASIC QUALIFICATIONS
- Three or more years of experience mining data as a data analyst
- Proven analytics skills, including mining, evaluation, and visualization
- Technical writing experience in relevant areas, including queries, reports, and presentations
- Strong SQL or Excel skills, with aptitude for learning other analytics tools
PREFERRED QUALIFICATIONS
- Bachelor’s degree (or equivalent) in mathematics, computer science, economics, or statistics
- Experience with database and model design and segmentation techniques
- Strong programming experience with frameworks, including XML, JavaScript, and ETL
- Practical experience in statistical analysis through the use of statistical packages, including Excel, SPSS, and SAS
- Proven success in a collaborative, team-oriented environment
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.