Massachusetts Veterans Jobs

Description

We are seeking a seasoned data professional with a passion for delivering insightful and influential solutions to challenging and ambiguous problems. This individual should be a practiced analyst who employs analytics, statistics, data visualization, and data science to impact decision-making within cross-functional teams. The ideal candidate will possess the ability to think holistically about complex problems, understanding how different robotics subsystems work together, and will be adept at defining and executing projects that enhance our causal attributions and models.

Key job responsibilities

You will work cross-functionally with other analytics, product, and customer/field support teams throughout the organization to deliver projects aimed at characterizing, monitoring, and improving the performance of our robotic automation technology across all of Amazon's network including Fulfillment Centers, Sortation Centers, and Air Gateways. In this role, you will use a combination of unified and disparate data sources to uncover insights delivered through decision-driving analytics white-papers and automated data visualizations to influence the development and deployment of cutting-edge robotic technology. You will collaborate with Data Scientists, Data Engineers, and Product Managers to define and deliver world class analytics tools and insights to shape the robotic technology landscape.

A day in the life

• Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions.

• Routinely partner with analytics and support operations teams to define the scope of analysis, data elements and data structure that the team should leverage to enable capabilities.

• Design, implement, and support platforms that provide business teams ad-hoc access to large datasets (e.g. data visualization tools for non-tech business users)

• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.

• Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics.

About the team

The Performance Analytics and Field Insights (P&I) team specializes in developing analytics products and services that enables the service and support teams to proactively monitor and assess the performance of all AR solutions, across all customers. This team, with its expertise in robotics products and operational knowledge, generates insights regarding the performance, adoption, and reliability of AR solutions. Adopting a product-focused approach, P&I delivers analytics services that provide a deeper understanding of the AR network, including its operational aspects and the impact these have on system performance.

Basic Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

• Experience with data visualization using Tableau, Quicksight, or similar tools

• Experience with data modeling, warehousing and building ETL pipelines

• Experience in Statistical Analysis packages such as R, SAS and Matlab

• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred Qualifications

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

• • Master’s degree in a quantitative field (Data Science, Business Analytics, Computer Science, Mathematics, Statistics, or equivalent)
• • Experienced with data visualization using Tableau or similar BI tools to create end-to-end dashboard solutions and reports which effectively convey results to a wide range of users.
• • Experience using test / control methodology, and using machine learning techniques

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, please visit https://www.amazon.jobs/en/disability/us.