Business Intelligence Analyst, AMZL PSX

Amazon Inc.; Osasco; Hybrid; BRL 120,000 - 210,000; Full time

Job summary

Amazon is seeking a Business Intelligence Analyst for the Pricing & Payments team in Brazil. You will own data pipelines, dashboards, and automation to ensure pricing accuracy, payment reliability, and financial health across partner programs.

You will build scalable data solutions, partner with Finance, Operations, and Technology, and translate complex data into actionable business insights. This is an on-site role based in an AMZL office in Brazil.

Qualifications

• Bachelor's degree or equivalent work experience in a technical field.
• Experience writing and optimizing SQL in large datasets.
• Experience building data pipelines or automated ETL processes.
• Experience with BI tools (QuickSight/Tableau/Power BI).
• Experience with data scripting languages (SQL, Python, R).
• Experience translating business needs into feature requirements.
• Strong analytical, detail-oriented, and communicative abilities; SQL Server/MySQL experience.
• Proficient communication of technical concepts to non-technical audiences.
• Portuguese & English communication skills.

Responsibilities

• Design, build, and maintain automated data pipelines for reconciliation and reporting.
• Develop SQL queries, views, and stored procedures for large datasets.
• Build dashboards providing real-time visibility into payments, pricing, disputes, KPIs.
• Create automated reconciliation to reduce manual work and errors.
• Develop self-service analytical tools for the team.
• Automate recurring reports and manual processes.
• Conduct deep-dive analyses on payments, disputes, incentives, pricing models.
• Build alerting and exception-handling for payment delays and anomalies.
• Collaborate with Tech/Engineering to define data requirements and ensure data quality.
• Support pricing models and simulations with historical data analysis.
• Document data solutions with specs and runbooks.
• Present findings and automation proposals to stakeholders.

Skills

SQL proficiency

ETL pipelines

Data visualization

Data storytelling

Communication

Portuguese & English

Analytical thinking

SQL Server/MySQL

Python/R

Problem solving

Education

Bachelor's degree or equivalent in technical field

Master's degree (advantage)

Tools

SQL

QuickSight

Tableau

Power BI

Git

AWS Redshift

Job description

Amazon is the most customer-centric company on Earth. We need exceptionally talented, bright, and driven people who are passionate about doing the right thing.

We are looking for a Business Intelligence Analyst to join the Pricing & Payments team within Amazon's Last Mile Brazil organization, as part of the Partner Strategy & Experience (PSX) organization. This role owns the design, development, and maintenance of data intelligence solutions, automated mechanisms, and analytical frameworks that ensure pricing accuracy, payment reliability, and financial health across all delivery partner programs — EDSP (External Delivery Service Provider), AMPL (Amazon Partner Logistics), and AMXL (Amazon Extra Large).

As an Individual Contributor, you will be the data and automation backbone of the Payments & Pricing function — building pipelines, dashboards, reconciliation mechanisms, and self-service tools that eliminate manual processes, reduce payment errors, and provide real-time visibility into financial operations. You will partner closely with Payments Specialists, Pricing Specialists, Finance, and Operations to turn complex data into actionable intelligence.

This role reports directly to the Pricing & Payments Manager and works cross-functionally with Finance, Operations, Technology, and partner-facing teams.

This position is based out of an AMZL office.

If you are passionate about building intelligent data solutions, automating complex processes, and driving financial precision through analytics, come join our team.

Key job responsibilities

• Design, build, and maintain automated data pipelines and ETL processes that support payment reconciliation, pricing validation, and financial reporting across all partner programs
• Develop and maintain SQL-based queries, views, and stored procedures to extract, transform, and analyze large-scale operational and financial datasets
• Build and maintain dashboards and reporting mechanisms (QuickSight, Tableau, or equivalent) providing real-time visibility into payment status, pricing accuracy, disputes, and financial KPIs
• Create automated reconciliation mechanisms that identify payment discrepancies, pricing errors, and anomalies before they impact partners — reducing manual intervention and improving trust
• Develop self-service analytical tools that enable the Payments and Pricing team to access insights without requiring ad-hoc requests
• Automate recurring reports and manual processes, driving efficiency gains across the Payments & Pricing function
• Conduct deep-dive analyses on payment cycles, dispute patterns, incentive effectiveness, and pricing model performance to support data-driven decision-making
• Build alerting and exception-handling mechanisms that proactively flag issues (e.g., payment delays, pricing inconsistencies, unusual dispute volumes)
• Partner with Technology and Engineering teams to define data requirements, validate data sources, and ensure data quality and integrity
• Support the development of pricing models and incentive simulations by providing historical data analysis, scenario modeling, and impact projections
• Document all data solutions, pipelines, and mechanisms with clear technical specifications and operational runbooks
• Present analytical findings and automation proposals to stakeholders, translating technical solutions into business value

About the team

The Business Intelligence Analyst sits within the Pricing & Payments team, part of Amazon Logistics' Partner Strategy & Experience (PSX) organization. The Pricing & Payments function owns one of PSX's core pillars: "Pricing accuracy, incentive effectiveness, and payment reliability: ensuring financial health and trust across all delivery channels."

The team manages pricing models, payment cycles, incentive structures, and dispute resolution for +30 logistics partners across Brazil. The BI Analyst is the technical engine of this function — building the data infrastructure, automations, and intelligence that enable the team to operate at scale with precision and speed.

Basic Qualifications

• Bachelor's degree or equivalent work experience in Business, Engineering, Supply Chain, Transportation, Mathematics, Economics, Physics or another technical field
• Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
• Experience building data pipelines or automated ETL processes
• Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
• Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
• Experience in translating business needs into detailed feature requirements
• Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in SQL Server/MySQL
• Experience communicating technical concepts to non-technical audiences
• Experience in communication and presentation skills, both written and verbal in Portuguese & English

Preferred Qualifications

• Speak, write, and read fluently in English
• Experience with financial services, payments or e-commerce
• Experience with creating automated alarms, reports and KPI metrics for plant management
• Knowledge of finance, accounting, business or related field focused on analytics
• Experience working with Git or an equivalent distributed version control system
• Experience in program management, logistics, operations, supply chain, transportation, or equivalent
• Experience automating routine tasks
• Knowledge of data structures, data modeling, and database schema
• Master's degree in Math, Statistics, Computer Science, or related science field, or Master's degree and 2+ years of data scientist experience
• Experience in Amazon Redshift and other AWS technologies

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.