Robotics Business Intelligence Engineer – Amazon Robotics – Robotic Storage Full-time

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 Storage Technology Analytics team discovers insights in vast and varied robotic data to help our engineering teams understand how their technologies operate across Amazon’s network of warehouses. We collaborate with designers, software and hardware engineers, and operations teams to understand product requirements, make feature trade-offs, design, and operate new applications of Amazon Robotics technology. We conduct relevant, insightful analysis and communicate the results through white papers and presentations. Our methods include design of experiments, statistical modeling, financial analysis, and data visualization. We are passionate about building a highly scalable big data system to support our analytics, machine learning, and data applications.

What You Will Do

You will collaborate cross-functionally with engineering teams, program managers, and leaders throughout the organization to collect, aggregate, and streamline data from external/internal sources for the newest fulfillment and storage technology, Sequoia. You will lead development of data pipelines and customer self-service tools to support projects aimed at improving the performance of this new robotic automation technology in Amazon’s network of warehouses. In this role, you will use a combination of unified and disparate data sources to establish ETL pipelines, uncover insights delivered through automated data visualizations, and execute ad-hoc data analysis to influence the development and deployment of cutting edge robotic technology. You will collaborate with Data Scientists, Data Engineers, and Program Managers to define and deliver world class analytics tools and insights to shape the future of robotic technology landscape.

What We Are Looking For

An enthusiastic, experienced data professional with a passion for delivering insightful and influential solutions to challenging and ambiguous problems. A practiced analyst, who uses data engineering, data visualization, and statistics to influence decision making in cross-functional teams. We are seeking an individual who can think holistically through compound problems to understand how systems work together to define and execute projects which drive improvements to robotic architecture or design.

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.

Mentorship & Career Growth

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

Key job responsibilities

* Bachelors in quantitative field (Business Analytics, Computer Science, Mathematics, or equivalent)

* 3+ years of relevant experience in areas such as data engineering, warehousing & ETL pipeline, data visualization, and analytics

* Understanding of data warehousing and data modeling

* Working knowledge in scripting with Python for programming

* Knowledge in writing and optimizing SQL to handle extremely large datasets

* Ability to consume and manipulate large data sets using AWS and articulate its business impact

* 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 mentoring team members on best practices

* Experience in working and delivering end-to-end projects independently

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!

About the team

The Amazon Robotics Storage BI, Analytics and Data Science team discovers insights in vast and varied robotic data to help our engineering teams understand how their technologies operate across Amazon’s network of fulfillment warehouses. We collaborate with designers, software and hardware engineers, and operations teams to understand product requirements, make feature trade-offs, design, and operate new applications of Amazon Robotics Storage technology. We conduct relevant, insightful analysis and communicate the results through white papers and presentations. Our methods include design of experiments, statistical modeling, machine learning, financial analysis, and data visualization.

BASIC QUALIFICATIONS

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

– Experience with data modeling, warehousing and building ETL pipelines

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

– Experience writing complex SQL queries

– 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

– * 6+ years of relevant experience in a business analyst, data engineering, or data visualization role

– * Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

– * Experience operating large data warehouses

– * Familiarity with AWS and big data analytic tools (EMR, AWS Athena)

– * Knowledge of data management fundamentals and data storage principles

– * Proven problem-solving skills, project management skills, attention to detail, and exceptional organizational skills

– * Knowledge in building advanced visualizations in Tableau

– * Demonstrated ability to take end-to-end ownership of projects and drive results

– * Excellent communication (verbal and written) and interpersonal skills, and an ability to effectively communicate with business, leadership, and technical teams

– * Ability to deal with ambiguity in a fast-paced environment

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.