DescriptionThe Global Programs (GloPro) Analytics & Products Team has an immediate need for a creative and driven Business Intelligence Engineer (BIE) with a passion for building solutions that have a measurable impact. The right candidate will be innovative and technically versatile. They will have the opportunity to work with one of the largest and most complex data warehouses in the world to gather insights using tools from across Amazon. Their efforts will support GloPro and Amazon Stores Customer Service’s Operations and Programs teams to solve problems and delight our customers. This role may provide dedicated analytical support to a key stakeholder team. Dedicated analytical support includes managing all analytical requests for a key stakeholder, design/implement larger improvements such as accurately calculating edge cases and hands-on resolution of complex analysis, dashboard and savings validation requests.This candidate should be proficient in the architecture implementation of data processing solutions using multiple platforms. They should excel in the design, creation, management, and business use of extremely large datasets. The role is hands-on role in both the design and the delivery of the team’s most critical data artifacts. The candidate should be proficient in outlining technical trade-offs and recommending the best path forward. The problems this role will solve are complex, but the solutions are expected to be as simple as possible. The role requires excellent business and communication skills to work with business analysts, data engineers, and program managers to determine how best to design reporting solutions and analytics data systems. The ability to learn new technology and develop industry relevant architectures and convey business value is critical to the role.Other international Amazon corporate offices with a customer service center of excellence may be considered.Key job responsibilities
Design and implement data pipelines from disparate sources to ingest, transform, and store the data in various relational and non-relational models.
Gathering and understanding data requirements, working with cross-functional teams to achieve high quality and scalable data solutions for our products and mechanisms.
Dive deep into technical details (e.g., key dependencies, design choices, operability, etc.) with engineering teams and drive constructive technical discussions.
Build end-to-end BI solution designs (quality, scalability, latency, security, performance, data integrity, etc.).
Determine lineage to understand the chain of custody and transformation of data
Create interactive visual dashboards with QuickSight, Tableau, Power BI and other data-viz tools.
Apply basic statistical methods (e.g. regression) to difficult business problems and explain these methods’ assumptions and limitations.
Manage all analytical requests for a key stakeholder.
Design/implement improvements such as accurately quantifying and calculating costs/savings for edge cases.
Hands-on resolution of complex analysis, dashboard and savings validation requests.
Exploring and learning the latest AWS technologies to provide new capabilities and increase efficiency.
Write clear documentation, architecture documents and create an engineering roadmap.
Create technical content that is easily adopted and reusable by others.
A day in the lifeThe role is part of the Analytics team in the Customer Service Global Programs and Outsourcing Team. The primary focus is on iterating and improving existing solutions; from minimizing maintenance to building new features and capabilities for our users and stakeholders in Customer Service.You will provide dedicated analytical support to a key stakeholder team. You will manage all analytical requests for a key stakeholder, design/implement larger improvements such as accurately calculating savings for improvements in edge cases. You will be hands-on as you build data pipelines, perform complex analysis, create dashboards, apply statistics and validation process improvement savings.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! Benefits Summary: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) Plan
About the teamThe GloPro Analytics team provides ad-hoc analysis support in the form of consultation, project scoping, research, experimental design, project solution validation, and advanced analytics including machine learning models and algorithms. To increase the speed of data-driven actions by our stakeholders, we build automated self-serve solutions and web applications. In addition, we produce scalable analytics mechanisms and solutions through automation, data visualization and tools.Members of this team will be challenged to innovate use the latest big data techniques. We are looking for people who are motivated by thinking big, moving fast, and exploring business insights.We are open to hiring candidates to work out of one of the following locations:Arlington, VA, USA | Nashville, TN, USA | Seattle, WA, USABasic Qualifications
Experience with data modeling, warehousing and building ETL pipelines.
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
Experience with data visualization using Tableau, Quicksight, or similar tools.
Experience in Statistical Analysis packages such as R, SAS and Matlab.
Experience applying basic statistical methods (e.g. regression) to difficult business problems and understand these methods’ assumptions and limitations.
SQL, Analytical Problem Solving (Coding in one other language, preferably Python) and Metrics/Reporting.
Experience improving code quality and optimizing BI processes (speed, cost, reliability, etc.).
Experience designing and implementing self-service access to underlying data as appropriate.
Experience establishing data and reporting SLAs.
Strategic thinking
Bachelor's Degree
Preferred Qualifications
Expert in SQL.
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 developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
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 $79,600/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.
Full-time