Senior Business Analyst, Relay Trust

Amazon.com Inc

Bellevue, WA

JOB DETAILS
SKILLS
Algorithms, Analysis Skills, Automation, Business Analysis, Business Development, Business Intelligence, Cross-Functional, Data Analysis, Data Entry, Data Management, Data Sets, Data Visualization, Distributed Computing, High Availability, Machine Learning, Mentoring, Metrics, Network Performance/Analysis, Problem Solving Skills, Process Improvement, Product Programs, Product Strategy, Python Programming/Scripting Language, Quantitative Analysis, Reporting Dashboards, Research Skills, SQL (Structured Query Language), Set Goals, User Interface/Experience (UI/UX)
LOCATION
Bellevue, WA
POSTED
30+ days ago

The Relay Trust organization in Middle Mile Transportation Technology (MMPT) is constantly innovating new ways of building distributed systems running the latest in machine learning algorithms to deliver the next generation of fraud prevention solutions for our Customers. We hold high standards for our solutions and the services we deliver: our systems are highly secure, highly reliable, highly available, all while functioning at massive scale and delivering industry leading precision; our employees are intelligent, passionate about protecting Customers, and fun to work with.

Amazon is seeking an exemplary (Senior) Business Analyst with broad technical skills to develop in-depth business understanding, perform deep-dives, 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 (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 and/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:

  • Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
  • Work with large and complex data sets to solve a wide array of challenging problems using different data management tools and analytical approaches
  • Partner with Product, Program, Engineering, and cross-functional teams to understand data requirements and design scalable and user-friendly BI solutions influencing product and program strategy
  • Identify and measure success of product and program efforts through continuous analysis, goal setting, and monitoring of key metrics to understand trends
  • Build and maintain self-serve analytics: role-based dashboards, drill-downs, alerts, and definitions that make performance obvious at a glance
  • Identify key performance drivers, quantify their impact on critical metrics, and deliver actionable recommendations
  • Mentor junior analysts in analytical techniques and problem-solving methodologies

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles