
51 - 200 employees
Founded 1997
🤝 B2B
🤖 Artificial Intelligence
📦 Logistics
💰 Series A on 2019-01
B2B • Artificial Intelligence • Logistics
Mogai is a Brazilian IT services and industrial technology company that helps businesses medir, monitorar e melhorar processes (measure, monitor and improve processes). It develops integrated projects across its business units combining enterprise systems (SAP), computer vision for steel plate dimensioning and tracking, logistics solutions, industrial automation, integration with weighing equipment, RFID, barcode, mobile and wireless applications, fuel supply systems, onboard computers and data collectors, and a software factory. The company lists specialties in inovação, data analytics, business intelligence, machine learning, automação, visão artificial, processos industriais and 3D dimensionamento.
🔥 12 hours ago
🗣️🇧🇷🇵🇹 Portuguese Required
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51 - 200 employees
Founded 1997
🤝 B2B
🤖 Artificial Intelligence
📦 Logistics
💰 Series A on 2019-01
B2B • Artificial Intelligence • Logistics
Mogai is a Brazilian IT services and industrial technology company that helps businesses medir, monitorar e melhorar processes (measure, monitor and improve processes). It develops integrated projects across its business units combining enterprise systems (SAP), computer vision for steel plate dimensioning and tracking, logistics solutions, industrial automation, integration with weighing equipment, RFID, barcode, mobile and wireless applications, fuel supply systems, onboard computers and data collectors, and a software factory. The company lists specialties in inovação, data analytics, business intelligence, machine learning, automação, visão artificial, processos industriais and 3D dimensionamento.
• Transform data into strategic information to support decision-making • Model, process, analyze, and visualize data using Power BI and other Business Intelligence tools • Ensure information reliability, develop KPIs, and generate insights to drive business results • Review and formalize the methodology for calculating availability KPIs across five monitoring technologies, including documented calculation records • Map the current process (AS IS), including sources, flows, owners, and failure points, and design the future-state model (TO BE) • Design the centralized data architecture, including a state-event-oriented model, processing layers, version control, and freeze/reprocessing policies • Standardize the visualization layer in Power BI by unifying the semantic model, filters, and navigation between dashboards • Define data governance, including KPI ownership, change-approval authority, RACI, and quality rules • Support the implementation of the improvement roadmap under client management
• Specific experience and qualifications were not explicitly provided in the job posting • Knowledge and experience with Power BI, Data Lakes, Data Warehouses, ETL/ELT, data pipeline automation, SQL, DAX, and Power Query (skills listed in the posting)
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