Job Responsibilities: Business Analyst
Salary: $54,300 – 70,965/yr
Company: Amazon
Location: Virtual Work
Working hours: Not Mentioned
Education requirements: BA/BS Bachelor’s Degree
Experience requirements: 3+ years of relevant experience
Job Description
Amazon is looking for an experienced Business Analyst who is curious and passionate about leveraging data to provide our Customer Service Teams the resources they need to provide exceptional service. As a Business Analyst, this individual will be responsible for providing BI tools and processes to our World-Wide Customer Service and Capacity Planning Teams. The ideal candidate will possess a strong analytical background that enables him/her to take a business need and provide solutions by translating complex data into an understandable and actionable data presentation. The position requires an individual who can work autonomously in a highly demanding and often ambiguous environment, with strong attention to detail and exceptional organizational skills.
BASIC QUALIFICATIONS
· 3+ years of relevant experience in a business analyst, data analyst, or statistical analysis role
· Prior experience in developing requirements and formulating business metrics for reporting as well as with data visualization (Tableau, QuickSight, PowerBI)
· Experience with SQL and Excel
· BA/BS Bachelor’s Degree in the job-related field (business analytics, statistics, finance)
· Excellent problem-solving skills with strong communication, presentation, and writing skills for both technical and non-technical audiences
· Organization skills – demonstrated ability to work independently in a fast-paced environment with tight deadlines
· Ability to engage with cross-functional teams and effectively gather project/program requirements
· Outstanding attention to detail; Exceptional problem-solving skills
· Ability to manage a broad range of tasks and a track record of efficiently meeting deadlines
PREFERRED QUALIFICATIONS
· Proven ability to clearly communicate insights and influence buy-in to stakeholders & senior leaders
· Advanced working knowledge of data mining, ETL, API, data warehouse
· Experience working with complex data in large corporate environments
· Robotic Process Automation (RPA) knowledge and experience.