Business Intelligence Engineer, Payment Acceptance & Experience

Amazon; Seattle (WA); On-site; USD 74,000 - 166,000; Full time

Job summary

A leading company is seeking a Business Intelligence Engineer to enhance payment experiences globally by leveraging data analytics. This role involves developing insightful reports, collaborating with stakeholders, and optimizing business processes through data-driven solutions. Ideal candidates will have a strong analytical background, expertise in data visualization, and a passion for problem-solving.

Benefits

Medical, Dental, and Vision Coverage

Maternity and Parental Leave Options

Paid Time Off (PTO)

401(k) Plan

Qualifications

• Experience building and maintaining basic data artifacts.
• Experience with SQL and data visualization tools.

Responsibilities

• Developing insightful reporting on business drivers.
• Leading business reviews and analyses with stakeholders.
• Identifying opportunities for process improvements.

Skills

SQL

Statistical Analysis

Data Visualization

Problem Solving

Education

Bachelor's degree in statistics, business analytics, data science, or related field

Tools

Excel

Tableau

QuickSight

Job description

Business Intelligence Engineer, Payment Acceptance & Experience

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Pay found in job post

Retrieved from the description.

Base pay range

$74,100.00/yr - $165,600.00/yr

Description

The Payment Acceptance and Experience (PAE) team at Amazon is responsible for building the most trusted, intuitive, and accessible payment experience globally. They enable new and existing shoppers anywhere in the world to pay on and off Amazon using their preferred payment method. The team also aims to delight non-shopping customers like sellers and developers with seamless, supported payment experiences. PAE is organized into several sub-charters that focus on different aspects of payment acceptance and experience, such as enabling local and regional payment methods, managing third-party partnerships, improving the payments customer journey, and driving payment accessibility.

The vision for the PAE Data Science (DS) team is to transform payments data into insight for business decisions, tools for controllership of payments metrics, and models to improve customer payment experiences, such as purchase success rate (PSR) and payment method adoption. We seek opportunities to improve PAE productivity through automation. We provide access to payments data that is accurate and timely. We build tools that reduce the effort needed to analyze data to make decisions. We develop Machine Learning (ML), artificial intelligence (AI), and economic models that that empower our customer facing features to delight customers.

We’re looking for an analytical builder to improve the Business Intelligence product that can bring greater insights for our stakeholders. This role offers exciting challenges and the opportunities to influence customer's paying experience on Amazon. A successful candidate loves problem solving, obsesses over data, and has a track record of using data to influence successful business decisions.

Key job responsibilities

Responsibilities Include

• Developing intelligent, insightful reporting on the key drivers of our business
• Interacting with internal stakeholders to lead weekly business reviews and deep dive analyses
• Ad-hoc project work supporting the re-invention of how we manage our business
• Enabling effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
• Identifying process and system improvement opportunities by monitoring existing metrics, analyzing data, and partnering with internal teams
• Driving instrumentation as part of organization wide programs and enhancements
  
  

The Expertise You’ll Develop In The Role

• Ability to break down and solve complex problems
• Develop high impact solutions working with Data Scientists and Data Engineers focused on business intelligence
• Translate massive data sets into actionable business results
• Explain analysis results to senior stakeholders through verbal and written communications
• Drive scalable solution
  
  

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!

Basic Qualifications

• Bachelor's degree in statistics, business analytics, data analytics, data science, computer science or related field
• Experience with SQL, including class projects, personal projects, research, prior internships, or volunteer work
• Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)
• Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI)
• Experience with statistical analysis, co-relation analysis
  
  

Preferred Qualifications

• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience applying basic statistical methods (e.g. regression) to difficult business problems
• Experience with scripting language (e.g., Python, Java, or R)
  
  

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 $74,100/year in our lowest geographic market up to $165,600/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 LLC

Job ID: A3009995

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Strategy/Planning, Analyst, and Information Technology

• Industries

  Software Development

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