FAQs
What is the primary focus of the Business Analyst role in Amazon Payment Products?
The primary focus is to deliver analytics solutions, perform data analysis, build data pipelines, create dashboards, and synthesize analysis into business insights to drive profitability.
What educational background is required for this position?
A Bachelor's degree in mathematics, engineering, statistics, computer science, or a related field is required.
How much experience is necessary for the candidate in Excel or Tableau?
A minimum of 2+ years of experience in Excel or Tableau, including data manipulation, macros, charts, and pivot tables, is necessary.
What technical skills are essential for this Business Analyst position?
Fluency in SQL, strong analytical skills, and knowledge of data visualization tools such as QuickSight, Tableau, or Power BI are essential.
What type of data analysis will the Business Analyst be performing?
The Business Analyst will perform deep dives into massive data sets, execute data analysis to uncover business opportunities, and synthesize findings into actionable insights.
Are project management skills important for this role?
Yes, the candidate must have strong project management skills to manage and execute projects from start to finish, including problem-solving and data manipulation.
What are the preferred qualifications for this job?
Preferred qualifications include knowledge of data modeling and pipeline design, experience improving code quality and optimizing BI processes, and credit or risk management experience.
Will the Business Analyst be required to communicate findings to stakeholders?
Yes, the Business Analyst will present insights and recommendations to key stakeholders in both verbal and written forms.
How does Amazon Payment Products define the team environment?
The team environment is fast-paced, requiring the ability to multi-task and adapt to evolving project requirements.
What kind of data resources will the Business Analyst need to understand?
The Business Analyst will need to learn and understand a broad range of Amazon's data resources and know how, when, and which data sources to use effectively.