{"id":2104701,"url":"https://alion.io/job/amazon-business-intelligence-analyst-amzl-psx","title":"Business Intelligence Analyst, AMZL PSX","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":83,"open_postings":4410,"ghost_share":0,"stale_share":0.889,"repost_share":0.001,"time_to_fill_p50_days":16,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Osasco, Brazil"],"countries":["BR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":69000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1679},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"MATLAB","optional":false},{"name":"MySQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"AWS","optional":true},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-10-08T19:49:58Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-20T10:19:38Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"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.\nWe 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).\nAs 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.\nThis role reports directly to the Pricing & Payments Manager and works cross-functionally with Finance, Operations, Technology, and partner-facing teams.\nThis position is based out of an AMZL office.\nIf you are passionate about building intelligent data solutions, automating complex processes, and driving financial precision through analytics, come join our team.\nKey job responsibilities\nDesign, build, and maintain automated data pipelines and ETL processes that support payment reconciliation, pricing validation, and financial reporting across all partner programs\nDevelop and maintain SQL-based queries, views, and stored procedures to extract, transform, and analyze large-scale operational and financial datasets\nBuild and maintain dashboards and reporting mechanisms (QuickSight, Tableau, or equivalent) providing real-time visibility into payment status, pricing accuracy, disputes, and financial KPIs\nCreate automated reconciliation mechanisms that identify payment discrepancies, pricing errors, and anomalies before they impact partners - reducing manual intervention and improving trust\nDevelop self-service analytical tools that enable the Payments and Pricing team to access insights without requiring ad-hoc requests\nAutomate recurring reports and manual processes, driving efficiency gains across the Payments & Pricing function\nConduct deep-dive analyses on payment cycles, dispute patterns, incentive effectiveness, and pricing model performance to support data-driven decision-making\nBuild alerting and exception-handling mechanisms that proactively flag issues (e.g., payment delays, pricing inconsistencies, unusual dispute volumes)\nPartner with Technology and Engineering teams to define data requirements, validate data sources, and ensure data quality and integrity\nSupport the development of pricing models and incentive simulations by providing historical data analysis, scenario modeling, and impact projections\nDocument all data solutions, pipelines, and mechanisms with clear technical specifications and operational runbooks\nPresent analytical findings and automation proposals to stakeholders, translating technical solutions into business value\nA day in the life\nYour 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.\nMid-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.\nBefore 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.\nAfter 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.\nLate 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.\nYou close the day documenting the new pipeline you deployed this week and updating the team's automation roadmap with next quarter's priorities.\nAbout the team\nThe 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.\"\nThe 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.\nBasic qualifications\n- Bachelor's degree or equivalent work experience in Business, Engineering, Supply Chain, Transportation, Mathematics, Economics, Physics or another technical field\n- Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets\n- Experience building data pipelines or automated ETL processes\n- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages\n- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)\n- Experience in translating business needs into detailed feature requirements\n- Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in SQL Server/MySQL\n- Experience communicating technical concepts to non-technical audiences\n- Experience in communication and presentation skills, both written and verbal in Portuguese & English\nPreferred qualifications\n- Speak, write, and read fluently in English\n- Experience with financial services, payments or e-commerce\n- Experience with creating automated alarms, reports and KPI metrics for plant management\n- Knowledge of finance, accounting, business or related field focused on analytics\n- Experience working with Git or an equivalent distributed version control system\n- Experience in program management, logistics, operations, supply chain, transportation, or equivalent\n- Experience automating routine tasks\n- Knowledge of data structures, data modeling, and database schema\n- Master's degree in Math, Statistics, Computer Science, or related science field, or Master's degree and 2+ years of data scientist experience\n- Experience in Amazon Redshift and other AWS technologies\nOur 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. 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