Data-driven decision-making is at the core of Amazon's culture, and people who are exceptionally talented at analyzing large sets of data to build insights are critical. Your work will directly impact the decisions and strategy of the ML Capacity Delivery organization and our customers. You will gather customer needs and insights, mine large and diverse data sets from across AWS Infrastructure, build visualizations and tools for our business partners, and generate insights to help senior leaders make critical business decisions. The successful BIE will not only possess the expertise and passion for analyzing data, designing metrics to measure the performance of the business, and building reporting capabilities and tools, but will also interact directly with business leaders and teams that rely on the metrics and analyses they produce.
The ideal candidate must be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail), and enjoy working in a fast-paced, dynamic environment. If you are excited about data, are results-oriented, and want to join a growing analytics team within Amazon - this role is for you!
Key job responsibilities
Set the baseline. Partner with business customers and leadership to define, track, and report KPIs against annual, quarterly, and monthly goals.
Turn needs into solutions. Gather requirements and deliver complete reporting solutions.
Build at scale. Design, develop, and maintain automated, user-friendly reports and dashboards that support procurement planning and decision-making.
Move the data. Build and optimize ETL pipelines that pull data from diverse sources using SQL, Python, and AWS big data technologies.
Tell the story. Publish and maintain QuickSight dashboards, reports, and executive review documents that reveal trends, patterns, and outliers.
Spot what others miss. Uncover patterns in the data and connect them to business outcomes.
Measure what matters. Invent new ways to define and measure program effectiveness and organizational productivity.
Bridge business and tech. Act as the link between business and technical teams, delivering actionable insights and ad hoc analyses that fuel future improvements.
Protect data quality. Run regular audits to keep reporting complete and accurate, and automate manual reporting wherever you can.
Think ahead. Grow the team's analytical maturity through predictive and prescriptive analytics.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- 3+ years of in the job offered or a related occupation experience
- 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONS
- 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
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 99,500.00 - 160,000.00 USD annually
USA, VA, Arlington - 99,500.00 - 160,000.00 USD annually
USA, VA, Herndon - 99,500.00 - 160,000.00 USD annually
USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually
