Support the extraction/manipulation/analysis of operational risk data to identify opportunities for process optimization or automation to mitigate operational loss impacts and support improvements to operational risk data/reporting to Senior Management.
Responsibilities
Gather and analyze operational risk metric data relevant to and impacting the SBU.
Conduct moderate to difficult information/data analysis to identify process optimization/automation work.
Work with partners (internal & external) to identify, validate and reconcile various data sources.
Creation of processes and code to automate delivery of new and existing standard analytics & reporting.
Apply Power BI development capabilities to transform raw data into relevant information.
As a Business Intelligence Engineer within the Prime Video Partner Experience & Supply Chain team, you will transform complex supply chain data into clear insights and optimize supply chain operations.
Locations (2)
Culver City, California, United States
Seattle, Washington, United States
Compensation
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs).
Responsibilities
Analyze data to identify and execute on business opportunities
Understand data resources and select appropriate sources for each analysis
Build fast prototypes using Amazon AI tools (Kiro, Claude CLI, QuickSuite) and translate them into production-grade data products
Evaluate requirements and select optimal tools, balancing speed, efficiency, and scalability
Build data pipelines and dashboards from multi-dimensional datasets to report product metrics and KPIs
Provide analytical support for the Fleet & Facility Services branch by building data sources, developing Tableau dashboards and performing analyses in spreadsheets.
Responsibilities
Build data sources and develop Tableau dashboards
Collect, organize and blend data using Tableau Desktop, Prep, Server, SAP, M5, PeopleSoft, Tririga, GPS software, Google AppSheets, Microsoft Excel, SQL Developer, Microsoft SQL Server, Visier, and Google Scripts
Work with clients to identify scope of work for analyses, dashboards and micro applications
Extract data from database tables manually or via SQL queries using ODBC connections
Collect, organize and blend data using Tableau, SAP, M5, PeopleSoft, Tririga, GPS software, Google AppSheets, Microsoft Excel, SQL Developer, Microsoft SQL Server, Visier, and Google Scripts
Work with clients to identify scope of work for analyses, dashboards and micro applications
Extract data from database tables manually or via SQL queries using ODBC connections
Validate data for completeness, accuracy and relevance
Requirements
University Degree in Business, Commerce, Computer Science or related discipline (specializing in data analytics, statistical modeling and data visualization)
Business Intelligence Engineer to join the Production Planning Team, responsible for simplifying and automating reporting, improving data sources, and building BI solutions to support business decisions.
Responsibilities
Simplify and automate reporting and other data‑driven activities; build solutions for maximum scale and self‑service ability by stakeholders.
Improve back‑end data sources for increased accuracy and simplicity.
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.
Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
Requirements
Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field
Nice to have: Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
Triage and resolve data quality issues for Salesforce's Sales Data Mesh, supporting global analytics consumers and progressing toward a data engineering role.
Compensation
The typical base salary range for this position is $99,400 - $150,300 annually.
Responsibilities
Triage issues reported by consumers in Slack support channels
Reproduce problems, establish grain and definitions, and provide clear answers or next steps
Investigate data-quality and freshness problems across bronze to gold layers
Trace wrong or missing numbers back to models, sources, or pipeline runs
Run row-level and column-level validation and parity checks when models change or legacy logic is migrated
Assurer, de bout en bout, la préparation, l'analyse et la valorisation des données, ainsi que la conception et l'évolution de tableaux de bord stratégiques destinés au management et aux différentes parties prenantes.
Compensation
Salaire : De 60€ à 65K€ (selon expérience) brut annuel
Responsibilities
Explorer les données et identifier les KPI pertinents
Concevoir et mettre en place des tableaux de bord dynamiques sous Tableau Desktop
Développer des dashboards permettant de suivre l'adoption, l'utilisation et la performance des offres d'IA
Optimiser les dashboards existants en matière de lisibilité et de structuration
Transformer et enrichir les données via des pipelines et recettes avancées sous Dataiku
Business Intelligence Engineer, Prime Video Partner Experience & Supply Chain AnalyticsAmazon · Culver City, US+1 more
Data AnalystCity of Edmonton · Edmonton, Canada