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Description

Are you passionate about building business insights that drive decision making at the highest levels? Do you want to be a part of a fast-paced, ambiguous environment and contribute to Amazon Payments charter?

In this role you will be responsible for solving complex and ambiguous data and metric problems. You will use latest AWS provided Data Analytics and GenAI tools (such as Quicksight, Amazon Q, Sagemaker) to provide business metrics for senior leaders. You should have a track record of end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment. You should be able to work on complex initiatives, deal with ambiguity. You will be required to work with senior leaders, product managers, marketing, finance, operations, program managers and other data teams to understand metrics such as GMS Penetration, new acquisitions, approval rates, deposit rates etc.

Key job responsibilities

As a business intelligence engineer, you will/may:

• Be highly data driven, resourceful, customer-obsessed and team oriented

• Use latest AWS provided data analytics and GenAI tools (such as Quicksight, Amazon Q, Sagemaker)

• Design, develop, and implement scalable, automated processes for data extraction, processing, and evaluation

• Define data driven approaches and metrics strategy to uncover new insights

• Have a passion for sourcing, manipulating, and visualizing data to tell business stories

• Be able to clearly communicate strategic findings and recommendations

• Translate complex, technical concepts into business terms and vice versa

• Work with engineering and data teams to support the development of tools and dashboards

About the team

North America Payment Products (NAPP) Science team within GPTech, Amazon Payments, owns the Data and ML use cases, supporting the NAPP business. This role will be focusing on Private Label Credit Cards (PLCC) suite of products also called Store Card.

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.

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.