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Business Intel Engineer - II, Amazon Robotics - job 1 of 2

DescriptionAmazon 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, and supports, 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 Data Engineers, Software Developers, Technical Program Managers, and Business Intelligence Engineers who are responsible for the technical strategy and delivery for GO-AI.Key job responsibilities• Design, development and ongoing operations of scalable, performant data warehouse (Redshift) tables, data pipelines, reports and dashboards.• Development of moderately to highly complex data processing jobs using appropriate technologies (e.g. SQL, Python, Spark, AWS Lambda, etc.)• Development of dashboards and reports.• Collaborating with stakeholders to understand business domains, requirements, and expectations. Additionally, working with owners of data source systems to gain insights into capabilities and limitations.• Deliver minimally to moderately complex data analysis.• Adopt best practices in reporting: data integrity, test design, validation, and documentation.• Ensure excellence in verbal and written communication.• Comfortable wearing multiple hats and go over and above to drive results.A day in the life• Collaborate with a diverse range of stakeholders, both technical and non-technical, to provide comprehensive BI solutions.• Develop and refine a robust data architecture and reporting framework by navigating various business criteria to ensure data accuracy and reliability.• Own creating, evolving, and managing essential metrics, reports, analyses, and dashboards that drive key business decisions.• Uphold high standards in reporting and analytical practices, focusing on data accuracy, experimental design, analysis methodologies, validation processes, and thorough documentation.• Build knowledge regarding advancements in technology, tools, methodologies, and best practices in analytics, and disseminate this knowledge within the analytics team.• Extract valuable insights from client feedback and operational data, propose actionable recommendations, and support GO-AI leadership in making pivotal business decisions.• Design and execute studies to assess the impact and efficiency of various initiatives, contributing to the improvement of key performance indicators and influencing the strategic direction in the long term.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:• Medical, Dental, and Vision Coverage• Maternity and Parental Leave Options• Paid Time Off (PTO)• 401(k) PlanIf 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• 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 modelingPreferred 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• Experience coding in Python for automation.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.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2847685

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What You Should Know About Business Intel Engineer - II, Amazon Robotics, Amazon

Join Amazon Robotics as a Business Intel Engineer - II in Boston, MA, where you will have the exciting opportunity to shape the future of robotic solutions at one of the world’s leading tech companies. In this role, you’ll collaborate with a talented team of Data Engineers, Software Developers, and Technical Program Managers to develop innovative BI solutions that drive strategic decisions. Your day-to-day responsibilities will include designing and operating scalable data warehouse solutions using Redshift, creating insightful dashboards, and performing complex data processing tasks with technologies like SQL, Python, and Spark. You’ll be the key to unlocking insights from our vast datasets, working closely with stakeholders to understand their business objectives and ensure data accuracy. This position is perfect for someone who enjoys wearing many hats – from diving into technical details to stepping back and seeing the big picture. You will also have the chance to keep your skills sharp by learning about the latest trends in analytics and reporting, all while enjoying the extensive benefits that come with working at Amazon, including medical coverage, paid time off, and a 401(k) plan. If you’re passionate about data and eager to make a significant impact, we’d love to hear from you!

Frequently Asked Questions (FAQs) for Business Intel Engineer - II, Amazon Robotics Role at Amazon
What are the main responsibilities of a Business Intel Engineer - II at Amazon Robotics?

As a Business Intel Engineer - II at Amazon Robotics, your primary responsibilities include designing and developing scalable data warehouse solutions, creating insightful dashboards, and conducting data analysis. You'll collaborate with stakeholders to gather business requirements, ensure data accuracy, and develop robust reporting frameworks to inform key business decisions.

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What qualifications do I need to apply for the Business Intel Engineer - II position at Amazon Robotics?

To qualify for the Business Intel Engineer - II position at Amazon Robotics, you need a minimum of 3 years of experience in data analysis and interpretation, proficiency in Redshift, and hands-on experience with SQL, Python, and data visualization tools like Tableau or Quicksight. Additionally, familiarity with ETL pipelines and statistical analysis packages such as R or SAS is preferred.

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How does Amazon Robotics support career growth for Business Intel Engineers - II?

Amazon Robotics offers a variety of opportunities for professional development, including access to cutting-edge technology, training on best practices, and mentorship from experienced professionals in the field. You'll have the chance to grow your skills in data architecture, analytics, and project management, enabling you to take your career to the next level.

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Can you describe the work environment for Business Intel Engineers - II at Amazon Robotics?

The work environment for Business Intel Engineers - II at Amazon Robotics is dynamic and collaborative. You're encouraged to connect with a diverse range of team members, from technical engineers to non-technical stakeholders, fostering a culture of innovation and teamwork. Amazon values open communication and a strong feedback loop, which enhances the overall work experience.

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What types of projects will I work on as a Business Intel Engineer - II at Amazon Robotics?

As a Business Intel Engineer - II at Amazon Robotics, you'll work on projects that involve creating comprehensive BI solutions to optimize robotic operations in fulfillment centers. This includes designing data pipelines, conducting analyses on operational efficiency, and developing metrics and dashboards that drive strategic business decisions. Your work will directly influence the enhancement of Amazon's logistical capabilities.

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Common Interview Questions for Business Intel Engineer - II, Amazon Robotics
How do you approach data analysis in your role as a Business Intel Engineer?

In my role as a Business Intel Engineer, I prioritize understanding the business context before diving into data analysis. I start by collaborating with stakeholders to clarify their objectives, followed by systematic data exploration and employing suitable statistical methods to uncover insights. My approach relies on ensuring data integrity and validating results to maintain transparency.

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Can you describe your experience with data visualization tools?

I have extensive experience using data visualization tools like Tableau and Quicksight. I focus on translating complex data sets into user-friendly dashboards that communicate key insights effectively. Creating visualizations is about telling a story with data, and I ensure that my visuals align with the audience's needs and decision-making processes.

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What methods do you use to ensure data accuracy?

To ensure data accuracy, I implemented a multi-tier validation process, which includes cross-checking data against source systems, designing tests to verify data integrity, and conducting regular audits. By doing so, I can confidently rely on the results produced for business decisions.

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How do you handle conflicting requirements from various stakeholders?

When faced with conflicting requirements, I prioritize open communication and collaboration. I facilitate meetings with stakeholders to discuss their needs and ensure that we align on the overall objective. By fostering a collaborative environment, we can often find a solution that satisfies everyone or establish clear priorities for the project.

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Describe a challenging data processing project you've completed.

One challenging project involved developing an ETL pipeline for a large-scale data integration task. I used Python and SQL to automate data extraction and transformation processes from disparate sources. The challenge was ensuring data quality throughout the pipeline, which I addressed by implementing comprehensive validation checks. The results improved our data accuracy significantly and streamlined reporting.

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What data modeling techniques are you familiar with?

I am familiar with several data modeling techniques, including star schema, snowflake schema, and normalization. Depending on the project requirements, I choose the most suitable model to enhance data retrieval and reporting efficiency. This decision is guided by four key factors: performance, data integrity, scalability, and ease of use.

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How do you stay updated with the latest trends in data analytics?

I regularly participate in online courses, webinars, and data community forums. Following industry leaders on platforms like LinkedIn and subscribing to data analytics publications also help me stay current on best practices and emerging technologies, ensuring I contribute innovative solutions in my role.

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Can you provide an example of how you've contributed to a team project?

In a recent project, I played a pivotal role in optimizing the reporting framework for our team. I proposed and implemented a new architecture for data reporting that enhanced efficiency by 50%, allowing stakeholders to access insights more quickly. My contributions significantly improved our ability to make data-driven decisions.

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What is your experience with AWS tools?

I have hands-on experience with various AWS tools, including S3 for storage, Redshift for data warehousing, and Lambda for serverless processing. I regularly use these tools in tandem to build scalable and efficient data pipelines that support our analytics initiatives, enabling faster processing and reduced costs.

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How do you ensure effective communication with non-technical stakeholders?

To communicate effectively with non-technical stakeholders, I simplify complex concepts into relatable terms. I focus on outlining the business implications of data findings and ensuring that my presentations include visuals that make the data understandable. I also encourage questions and feedback to foster a two-way conversation.

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Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking.

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CULTURE VALUES
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Transparent & Candid
Growth & Learning
Fast-Paced
Collaboration over Competition
Take Risks
Friends Outside of Work
Passion for Exploration
Customer-Centric
Reward & Recognition
Feedback Forward
Rapid Growth
BENEFITS & PERKS
Medical Insurance
Paid Time-Off
Maternity Leave
Mental Health Resources
Equity
Paternity Leave
Fully Distributed
Flex-Friendly
Some Meals Provided
Snacks
Social Gatherings
Pet Friendly
Company Retreats
Dental Insurance
Life insurance
Health Savings Account (HSA)
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
INDUSTRY
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
December 9, 2024

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