
SaaS • Enterprise • Technology
Erbis is a technology company specializing in developing customized software solutions for various industries. The company offers services such as platform and product development, AI and machine learning, web development, mobile app development, and more. Erbis focuses on delivering high-quality and scalable applications, catering to businesses in sectors like supply chain, legal, and startups. Their expertise includes digital transformation, cybersecurity, and modernization of legacy systems. Erbis is committed to providing innovative tech solutions to optimize costs and improve operational efficiency for their clients.
3 hours ago

SaaS • Enterprise • Technology
Erbis is a technology company specializing in developing customized software solutions for various industries. The company offers services such as platform and product development, AI and machine learning, web development, mobile app development, and more. Erbis focuses on delivering high-quality and scalable applications, catering to businesses in sectors like supply chain, legal, and startups. Their expertise includes digital transformation, cybersecurity, and modernization of legacy systems. Erbis is committed to providing innovative tech solutions to optimize costs and improve operational efficiency for their clients.
• Listen to end-user requirements and translate into workable data solves • Build and maintain business intelligence solutions • Exercise intellectual curiosity by mining data sets to find meaningful patterns and trends in the data—both for individual institutions and across campuses • Ensure data quality and security using best-in-class business intelligence tools and technology • Contribute to the product roadmap, subsequent enhancements, and development • Visualize data for storytelling to train others in BI
• Experience with PowerBI and other data visualization software • Strong quantitative skills including understanding of statistics • ETL and DWH management • Back-end database programming using coding languages such as SQL • Structured and/or unstructured data analysis experience • Bachelor’s degree or certification, preferably in a data-related field such as math, statistics, or computer science • B2/C1 level of English
• Paid Vacation days: 24 working days • Paid Sick days: 15 working days • The opportunity to dedicate up to 10% of working hours for self-education and personal development
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