September 14, 2021

  • Bachelor's degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field
  • 3+ years of professional experience in a business analyst/data analyst/statistical analyst role
  • 3+ years experience writing and optimizing SQL to handle large datasets
  • 3+ years experience with Excel and MS access
  • 3+ years experience direct experience with one or more major data visualization tools including Tableau/QuickSight/Power BI etc.
At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. We are looking for a dynamic, organized self-starter to join our Transportation Engineering Services (TES) Benchmarking team as a Business Analyst and support the teams globally.
  • Design and build custom reporting and dashboards to support TES. Run daily, weekly, monthly reports with an ongoing cadence to support the team with data to help with project execution.
  • Create reporting and metrics to facilitate analyses and drive data-driven decision making
  • Own the development and maintenance of new and existing artifacts focused on analysis of requirements, metrics, and reporting dashboards.
  • Report key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines.
  • Deep dive into large data sets to answer key business questions using SQL, Excel, and other data manipulation languages.
  • Continually improve ongoing reporting and analysis processes, while automating or simplifying self-service support and access to authoritative data sets.
  • Partner with execution/business teams to consult, develop and implement Key Performance Indicators (KPIs), automated reporting/process solutions, and process improvements to meet business needs.
  • Prepare and deliver business requirements reviews to the senior management team regarding progress and roadblocks.
  • Own and perform individual deep dive analyses, including communicating results and implications to leaders.
  • Generate weekly and monthly data reports for both internal and external business reviews.
  • Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use
  • Translate complex or ambiguous business problem statements into analysis requirements
  • Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation
  • Participate in strategic and tactical planning discussions.
  • MBA or Master’s Degree in a related field
  • 5+ years of relevant experience in a business analyst/data analyst/statistical analysis role
  • Experience leading large-scale analytics projects with BI solutions development using AWS technologies –Redshift, Athena, S3, EC2, Quicksight, etc
  • Proven success in designing and implementing ETL Pipelines, Query Performance Tuning, and other data engineering techniques
  • Self-driven and able to deliver on ambiguous projects with incomplete data
  • Excellent communication (verbal and written) and able to effectively communicate with business and technical teams
  • Proven problem solving skills, project management skills, attention to detail, ability to influence others, and exceptional organizational skills
  • Ability to deal with ambiguity and competing objectives in a fast paced environment
  • Understanding of data warehousing and data modeling
  • Experience in scripting languages for parsing and data analysis
  • Excellent writing skills, to create artifacts easily digestible by business and tech partners.
  • Ability to think strategically, perform dive deep analytics, and communicate effectively with internal and external senior leadership. Excellent communication skills are required.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, visit