FAQs
What qualifications are required for the Senior Finance Analyst position?
A Bachelor's degree in engineering, statistics, business, or a related field, or equivalent experience in a quantitative role is required. An MBA or CPA is preferred.
What kind of experience is beneficial for this role?
Experience participating in continuous improvement projects, working with large-scale data mining and reporting tools (such as SQL, MS Access, Essbase, or Cognos), and familiarity with financial systems like Oracle, SAP, Lawson, or JD Edwards is beneficial.
What skills should a candidate possess to be successful in this role?
A successful candidate should have strong analytical skills, attention to detail, a passion for using data to solve complex problems, and a willingness to continuously learn and improve skills.
Is this position focused on individual work or team collaboration?
This position emphasizes team collaboration, as the Senior Finance Analyst will work closely with global cross-functional business and tech teams to influence decision-making and improve operations.
Will I have opportunities for professional growth in this role?
Yes, the company encourages continuous learning and skill improvement, and you will have opportunities to participate in innovative projects and initiatives within the logistics industry.
How does Amazon ensure inclusivity in its hiring process?
Amazon believes in employing a diverse workforce as central to its success and provides reasonable accommodations for individuals with disabilities during the application and hiring process.
What is the work environment like at Amazon Logistics?
The work environment at Amazon Logistics is fast-paced and innovative, focusing on improving and reimagining the logistics industry through data-driven insights and collaboration.
How does the AMZL Finance team contribute to the organization?
The AMZL Finance team provides a holistic financial perspective, acts as trusted business advisors, and collaborates with partners to ensure leaders have reliable information to make informed decisions.
Are there specific tools or software I need to be familiar with for this position?
Familiarity with large-scale data mining and reporting tools (like SQL, MS Access, Essbase, and Cognos) and financial systems (such as Oracle, SAP, Lawson, and JD Edwards) is beneficial for this role.