Amazon Business Analyst 

United States, Washington, Bellevue 

737978715

The complexity of research and skills for a (Senior) Business Analyst is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical modeling and intuitive data visualization. This role will directly be responsible for maintaining front end code using Python, SQL, HTML, Java, and R, or other similar coding languages. Proficiency in the aforementioned languages is not required, but an ability to be a quick learner and gain proficiency is required for a successfully candidate. This role will have high level visibility due to the nature of the toolsets being maintained, built, and the network impact of analysis conducted. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.Key job responsibilities- Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems.
- Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes.
- Generating complex queries to dive deep on process issues

- Bachelor's degree in supply chain management, operations, engineering, analytics or related field
- Experience defining requirements and using data and metrics to draw business insights
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
- 0-2 years of business or financial analysis, product costing, procurement, or a quantitative role experience
- 0-2 years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience
- Experience making business recommendations and influencing stakeholders
- Experience building and maintaining automated forecasting models, utilizing regression or statistical methodologies

- 0-2 years of experience as a Business Analyst, Data Analyst, Engineer, or another related occupation
- Experience in Operations, Supply Chain, or Logistics
- Understanding of data warehousing and data modeling
- Fluency in a modeling language such as Python or R
- Experience with one or more of the statistical modeling languages/toolboxes