Job Information
Amazon Business Intelligence Engineer, Payment Business Operations in Arlington, Virginia
Description
Payment Business Operations (PBO) Business Intelligence (BI) Team is the centralized analytics and reporting team within Payment Acceptance and Experience (PAE) PBO.
We play a critical role in driving data driven decision-making, improving operational efficiency and supporting strategic objectives of the organization. We design and maintain robust data warehouse architecture to enable effective analysis and reporting. We collaborate with business leaders to understand business strategic goals and leverage data analysis tools to uncover valuable insights and trends from data. Our aim is to democratize data for everyone, irrespective of their technical background.
We are looking for a Business Intelligence Engineer to be part of our growing team. You will be responsible for designing, developing and maintaining data analytics and reporting solutions. You will be working with large datasets, extracting trends, patterns and insights by performing data analysis and mining. You will develop and maintain BI reports, dashboards ensuring accuracy and completeness with respect to customer's reporting requirements. You will be responsible for establishing data governance and efficiencies by ensuring high quality standards and performance optimizations.
This role requires excellent communication and organization skills including ability to collaborate with cross-functional teams from various domains like Business, Accounting, Finance and Engineering. You should be able to communicate complex technical concepts and data insights effectively to non-technical audiences. You will be analytical and data driven in decision making with a demonstrated ability to drive issues to completion.
Key job responsibilities
• Design and develop ETL processes to extract data from various sources.
• Transform and cleanse data to ensure accuracy, consistency, and integrity. Load the processed data into data warehouses for analytical purposes.
• Develop and maintain BI reports, dashboards, and visualizations.
• Ensure data accuracy, consistency, and timeliness in reports and dashboards.
• Collaborate with business stakeholders to understand their reporting needs and translate them into effective visualizations.
• Monitor and optimize the performance of BI systems and data warehouses.
• Identify opportunities and key criteria to drive analytical reporting and business strategy.
• Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights.
• Learn new technology and techniques to meaningfully support product and process innovation
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
Our purpose within PBO BI is to be excited about Data and Learning. Fundamental tenets of our team culture are:
Curiosity: a thirst for understanding and a desire to explore.
Thoroughness: a disposition to seek and provide explanations. Probe for deeper meaning and understanding.
Open-mindedness: ability to think outside the box. Willingness to embrace intellectual challenge and struggle.
Clarity: demystifying intricacies within data and democratize it for everybody, irrespective of user’s technical background.
Transparency and Trust: strive for openness and accuracy to our customers regarding our data and findings.
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 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
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.