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

A day in the life
Your day starts by checking the automated health monitors you built for the payment pipeline. An alert fires — a batch of AMPL partner payments shows a 3% discrepancy against expected values. You dive into the SQL query that powers the reconciliation engine, identify a data source lag from a route restructuring, and push a fix before the payment cycle closes.

Mid-morning, you join a sync with the Payments Specialists to review a new automated dispute detection mechanism you're piloting. The early results are promising: 40% of disputes that previously required manual review are now auto-classified and routed, saving 15+ hours per week.

Before lunch, you finalize a new QuickSight dashboard for the Pricing team — it visualizes incentive effectiveness across partner segments, showing which incentive structures drive the best delivery performance per Real invested. You walk the Pricing Specialist through the self-service filters and drill-down capabilities.

After lunch, you deep-dive into a request from the Ops Excellence Manager: they need historical payment data cross-referenced with partner Scorecard performance to validate a hypothesis about payment timeliness and delivery quality correlation. You build the query, visualize the results, and share a brief with your findings.

Late afternoon, you work on your current sprint priority: automating the monthly partner payment summary that currently takes 8 hours of manual work. You're building a Python script that pulls from three data sources, reconciles automatically, and generates the formatted output — target: zero manual hours by next month.

You close the day documenting the new pipeline you deployed this week and updating the team's automation roadmap with next quarter's priorities.

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 in Computer Science, Information Science, Information Technology, Engineering, Mathematics, Physics, or a related 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 translating customer needs into business 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

• Experience in Amazon Redshift and other AWS technologies
• 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 warehousing and data modeling
• Master's degree in Math, Statistics, Computer Science, or related science field, or Master's degree or equivalent and 2+ years of data scientist experience

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