Business Analyst, AMZL UTR PPT

Business Analyst

Business Analysts are responsible for converting data into actionable business insights. They are analysis experts who leverage a variety of data platforms and analytical tools to provide timely, meaningful, and consumable information. They build deep contextual and domain knowledge. They ensure data quality and build scalable tools. They communicate findings with the most effective and influential methods.

Amazon is seeking an exemplary Business Analyst with broad technical skills to develop data visualizations and build automation solutions that drive business decision making and process improvement. The ideal candidate will draw upon advanced analytical, problem-solving skills, and passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.

The complexity of research and skills for a 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 establishing scalable, efficient, automated processes for large-scale data analyses, statistical and predictive model development, validation and implementation maintaining front end code.

Key job responsibilities:

• Provide data management processes such as accessing raw data feeds, organizing data and designing reports that present status-at-a-glance visualization for business performance.
• Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems.
• Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.
• Taking ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.
• Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes.
• Monitoring existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities.
• Supporting cross-functional teams on the day-to-day execution of the existent program implementation.
• Doing complex analysis to dive deep on process issues.
• Innovating to improve customer experience.