Business Analyst II, ACES (Level 5)

Amazon is seeking a highly talented and motivated data and reporting analyst to join the Amazon Extra Large (AMXL) Amazon Customer Excellence System (ACES) Team.

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.

AMXL is seeking an exemplary Business Analyst II 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 II 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, Java, TypeScript 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

• Provide data management processes such as accessing raw data feeds, building queries and macros, writing VBA code, 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.
• Generating complex queries to dive deep on process issues
• Innovating to improve customer experience
• Up to 50% travel required.

We are open to hiring candidates to work out of one of the following locations :

Nashville, TN, USA

BASIC QUALIFICATIONS

• Bachelor's degree or equivalent
• 2+ years of business or financial analysis experience
• Experience with Excel
• Experience with QuickSight dashboard and visual creation
• Experience defining requirements and using data and metrics to draw business insights
• Experience making business recommendations and influencing stakeholders
• Experience building and maintaining automated forecasting models, utilizing regression or statistical methodologies.

PREFERRED QUALIFICATIONS

• Experience in Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau
• Experience with SQL
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience defining requirements and using data and metrics to draw business insights
• 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
10 days ago