Business Intelligence Engineer , Amazon Robotics

Amazon Robotics

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you'll fit right in here at Amazon Robotics. We are a smart, collaborative team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers' experiences in ways we can't even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.

Our Team

The Amazon Robotics Support Automation Systems (SAS) group uses data to inform automation efforts and improve supportability across the Amazon Robotics product portfolio. Our team discovers support cost drivers and uses this data to build tools and reports which automate manual processes for our support teams. We collaborate with software and hardware engineers and operations teams to understand priorities, make feature trade-offs, and build new tooling and automation capabilities. We conduct relevant, insightful analysis and communicate the results through white papers and reports. Our analytical methods include design of experiments, statistical modeling, machine learning, financial analysis, and data visualization. Our team also relies heavily on internal data engineering capabilities.

What You Will Do

As a member of the Foundational Data Services team within SAS, you will collaborate cross-functionally with engineering teams, program managers, and leaders throughout the organization to deliver projects aimed at understanding support cost drivers and finding new ways of reducing those drivers. 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 automation solutions. You will collaborate with software engineers, technical program managers, and other business intelligence engineers to deliver world class results for our customers.

What We Are Looking For

Our team is looking for a data professional with a passion for delivering insightful and influential solutions to challenging and highly ambiguous problems. We are searching for a jack-of-all trades who can make use of skills across the data engineering, statistics, and data visualization domains to influence decision making and improve automation across the organization. We are seeking an individual who can think holistically through compound problems to understand how systems work together and find new opportunities for improvement.

Inclusive Team Culture

Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which reminds team members to seek diverse perspectives, learn and be curious, and earn trust.

Flexibility

It isn't about which hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We offer flexibility and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

We care about your career growth. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll support you in getting there. Our business is growing fast and our people will grow with it.

Key job responsibilities

\tDesign, build and maintain scaled, automated, user-friendly systems, statistics and predictions, reports, dashboards, etc. that will support the needs of the business.

• \tWork through ambiguity to clean incomplete datasources and document assumptions

• \tWrite high-quality SQL queries to retrieve data from database tables (ex. SQL)

• \tBuild various data visualizations to tell the story of business trends, patterns, and outliers through graphic-rich customizable plots, data maps, and other rich visualizations.

• \tServe as liaison between the business and technical teams to achieve the goal of providing actionable insights

• \tAssists with and provides recommendations regarding tradeoffs between data granularity, calculations, and rendering of BIE products especially dashboards and other data visualizations

• \tApply deep business intelligence skills to extract meaningful insights and learning from large and complicated data sets

• \tRecognize and adopt best practices in reporting : data integrity, test design, validation, and documentation.

A day in the life

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

1. Medical, Dental, and Vision Coverage

2. Maternity and Parental Leave Options

3. Paid Time Off (PTO)

4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!

BASIC QUALIFICATIONS

- Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI)

- 1+ years relevant experience in areas such as data analytics, data science, data modeling, statistical analysis, and data engineering

- Working knowledge of scripting with R/Python for statistical analysis

- Experience writing and optimizing moderate -to-complex SQL queries to analyze large amounts of data

PREFERRED QUALIFICATIONS

- Knowledge of data modeling and data pipeline design

- Experience with AWS (Athena, S3, Glue, etc.)

- Experience building advanced visualizations in Tableau

- Demonstrated ability to take end-to-end ownership of projects, work collaboratively, and drive results

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.

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