**Basic Qualifications**:- Bachelor's degree in Computer Science, and Engineering or a related field or related discipline- 2+ years of Data Analyst or Research Analyst experience- Experience data mining using SQL, data warehouse and Excel- Experience developing tools to automate repetitive tasksJob summaryAt 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 enhance the Workforce Staffing (WFS) experience for internal and external stakeholders, this is your chance to make history.What is the role?Key job responsibilities**Key Responsibilities**:- Development of data collection processes and data management systems- Maintenance of data integrity- Enhance present day WFS outputs, focusing on efficiency and standardization relating to planning, reporting, and continuous improvement Design, optimize, and compile queries to generate reports in QuickSight, MS Access and Excel- In-depth research of defect trends, data collection, and entry as needed- Data mining and problem solving to present analysis in easily digestible standard reports- Gather and understand data requirements, work with the team to build systems that can process and transform the data- Modeling data and metadata to support ad-hoc and pre-built reporting- Manage business critical initiatives to enforce standard work and reduce waste**Preferred Qualifications**:- 3+ years of relevant experience in a business analyst, data analyst or statistical analysis role- Proven experience using high-level programing languages (Python, Java, C#)- Demonstrated problem solving skills and analytical skills- Proven ability to clearly communicate with managers at all levels- Global perspective and solid understanding of business objectives- Excellent attention to detail and work with the highest level of accuracy- Initiative to develop tools, data collection processes, and data management systems- Proven experience in developing requirements, formulating business metrics, and building dashboards data visualization tools, e.G. QuickSight- Demonstrated ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner
