Job Information
Amazon Business Intelligence Engineer, Amazon Stores Customer Service in Seattle, Washington
Description
Amazon is seeking a candidate who is passionate about leveraging data to deliver actionable insight that impacts business decisions to improve customer experience within the Global Customer Service Concessions Team. The Global Concessions Team focuses on systematically identifying and eliminating defects leading to returns and egregious experiences for customers across different marketplaces. We do this through regional programs and working with resolver teams around the world. In Concessions we embrace our differences and are committed to furthering our culture of inclusion. We do this by attracting, developing, and retaining amazing talent from diverse backgrounds. We are looking for an individual who is curious, motivated, and able to work effectively with diverse peers; someone who will amplify the positive and inclusive team culture we’ve been building.
Key job responsibilities
As a Business Intelligence Engineer (BIE) on the Amazon Stores Customer Service Concessions Team you will be collaborating with a seasoned group of Data Engineers and other BIEs to build cutting edge solutions that are accurate, reliable and accessible. As part of the BIE team, you will have an opportunity to participate and innovate across the BI landscape, starting from data ingestion, storage, processing and automated self-serve reporting. You will partner closely with business, finance and product teams from customer service, Operations teams and stakeholders from Returns, Recommerce and Sustainability organization to understand their data needs and ensure business users are able to answer hard questions with real data. You will educate and train customers to self-serve data, present data in new forms, explore reporting options and innovate. You will participate in business reviews and new initiatives. You should be able to identify and help close gaps in the information available, as well as predict up-and-coming data needs when participating in discussions about new products or features. Your responsibilities will include:
Own the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.
Translate basic business problem statements into analysis requirements.
Use analytical and statistical rigor to answer business questions and drive business decisions.
Find and create ways to measure the customer experience to drive business outcomes.
Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
Write queries and output efficiently, and have in-depth knowledge of the data available in area of expertise. Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready.
Recognize and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation.
Troubleshoot operational data-quality issues.
Review and audit existing ETL jobs and queries.
Recommending improvements to back-end data sources for increased accuracy and simplicity.
A day in the life
A successful BIE will be highly collaborative and organized, capable of prioritizing multiple deliverables and effectively communicate progress and blockers. You should feel comfortable working across multiple data-sources, and be capable of participating in and understanding how multiple systems communicate information to one-another.
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!
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 team
We are a group that has fun at work, cares about the impact of our products, and is not just focused on the bottom line. Our growing team has the rare opportunity of directly impacting the customer experience by generating insights that improve supply chain efficiencies. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed to achieve substantial career growth. Come join us and innovate with the Amazon Stores Customer Services, Concessions BI Team!
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 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
Experience in building ML based automated 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.
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.