Key job responsibilities
Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems
Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership
Identify opportunities and key criteria to drive analytical reporting and business strategy
Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting
Simplify and automate reporting, audits, and other data-driven activities
Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights
Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation
Learn new technology and techniques to meaningfully support product and process innovation
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with data visualization using Tableau, Quicksight, or similar tools
Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
