Sr. Business Intelligence Engineer

Amazon Robotics develops state-of-the art robotics for Amazon's Fulfillment Centers, which handle more individual items than any company in the world. We are combining computer vision, mobile robots, advanced end-of-arm tooling and high-degree of freedom movement to solve real-world problems at huge scale. Our team collaborates with a variety of customers across Amazon worldwide to conceive, develop, prototype and deploy a wide range of robotic systems. Within Amazon Robotics, Global Operations - Artificial Intelligence (GO-AI) enables Amazon to accelerate and scale our machine learning transformation via human-in-the-loop support. GO-AI's Technology & Development Team is a cross-functional team of Business Intelligence Engineers, Data Engineers, Software Developers, and Technical Program Managers who are responsible for the technical strategy and delivery for GO-AI.

Key job responsibilities

• Support leadership decision-making by deep-diving into business hypotheses and anecdotes.

• Design and automate ETL pipelines for business metrics.

• Design insightful dashboards and reports for a senior leadership with a mixture of technical and non-technical backgrounds.

• Research the most appropriate methodologies for a given analytical problem.

• Contribute to key business documents.

• Collaborate with stakeholders to understand business domains, requirements, and expectations.

• Work with owners of data source systems to gain insights into capabilities and limitations.

• Manage the timeline and deliverables of projects, anticipate risks and resolve issues.

• Adopt best practices in reporting: data integrity, test design, validation, and documentation.

• Have knowledge of Artificial Intelligence (AI) / Machine Learning (ML) and other industry solutions in this space to know when to apply what to solve business problems.

• Excellence verbal and written communication skills.

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

- 10+ years of professional or military experience

- 5+ years of SQL experience

- Experience programming to extract, transform and clean large (multi-TB) data sets

- Experience with theory and practice of design of experiments and statistical analysis of results

- Experience with AWS technologies

- Experience in scripting for automation (e.g. Python) and advanced SQL skills.

- Experience with theory and practice of information retrieval, data science, machine learning and data mining

- Experience with data visualization using Tableau, Quicksight, or similar tools.

- Experience building ETL pipelines and processes with large datasets.

- Experience using SQL to pull data from a database or data warehouse.

- Knowledge of data warehousing and data modeling.

- Bachelor's degree in engineering, computer science, mathematics, economics or relevant field.

PREFERRED QUALIFICATIONS

- Experience working directly with business stakeholders to translate between data and business needs

- Experience managing, analyzing and communicating results to senior leadership

- Experience with AWS solutions such as EC2, DynamoDB, Redshift, Glue, S3, Athena, Lambda, and SageMaker.

- Experience in data mining, modeling, and warehousing using databases in a business environment with large-scale, complex datasets.

- Scripting experience (Python) to process data for modeling.

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

- Experience working with cross-functional engineering teams developing artificial intelligence, machine learning, and/or robotic solutions.

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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