Business Analyst (ML & AWS SageMaker)
⚲ Warszawa, Łódź, Gdańsk, Gdynia
20 160 - 22 680 PLN netto (B2B)
Wymagania
- Business Analysis
- Machine Learning
- AWS Sagemaker
- Python
- SQL
Opis stanowiska
Responsibilities:
• Act as a bridge between business stakeholders and development teams to translate business needs into functional and non-functional requirements
• Support the design of advanced data and analytics solutions
• Collaborate with stakeholders to understand expected outcomes and elicit business features
• Manage delivery dependencies across teams and organizational units
• Participate as a member of a cross-functional Agile delivery team
• Analyze complex end-to-end solutions and business processes
• Evaluate new technologies at a high level and identify key technical questions
• Communicate effectively with business users and stakeholders
Requirements:
• Hands-on experience in AWS SageMaker implementation in direct collaboration with data scientists as end users
• Strong communication skills and ability to work with business stakeholders
• Analytical thinking and problem-solving skills
• Familiarity with machine learning concepts, CI/CD pipelines and big data
• Knowledge of SQL and Python
Nice to have:
• Experience in implementation of model monitoring and MLOps capabilities
• Experience integrating AWS SageMaker model outputs with cloud, hybrid and on-premises solutions
• Advanced knowledge of machine learning algorithms
• Knowledge of Spark and Scala
Offer:
• Private medical care
• Co-financing for the sports card
• Constant support of dedicated consultant
• Employee referral program
• Act as a bridge between business stakeholders and development teams to translate business needs into functional and non-functional requirements
• Support the design of advanced data and analytics solutions
• Collaborate with stakeholders to understand expected outcomes and elicit business features
• Manage delivery dependencies across teams and organizational units
• Participate as a member of a cross-functional Agile delivery team
• Analyze complex end-to-end solutions and business processes
• Evaluate new technologies at a high level and identify key technical questions
• Communicate effectively with business users and stakeholders
Requirements:
• Hands-on experience in AWS SageMaker implementation in direct collaboration with data scientists as end users
• Strong communication skills and ability to work with business stakeholders
• Analytical thinking and problem-solving skills
• Familiarity with machine learning concepts, CI/CD pipelines and big data
• Knowledge of SQL and Python
Nice to have:
• Experience in implementation of model monitoring and MLOps capabilities
• Experience integrating AWS SageMaker model outputs with cloud, hybrid and on-premises solutions
• Advanced knowledge of machine learning algorithms
• Knowledge of Spark and Scala
Offer:
• Private medical care
• Co-financing for the sports card
• Constant support of dedicated consultant
• Employee referral program
🔍 Dekoder Ogłoszenia
🔴
Act as a bridge between business stakeholders and development teams to translate business needs into functional and non-functional requirements
Twoim głównym zadaniem będzie tłumaczenie życzeń biznesu na język zrozumiały dla programistów, co często oznacza negocjacje i kompromisy.
🟡
Support the design of advanced data and analytics solutions
Będziesz pomagać w projektowaniu, ale faktyczne tworzenie i wdrażanie zaawansowanych rozwiązań będzie należeć do innych zespołów.
🟡
Collaborate with stakeholders to understand expected outcomes and elicit business features
Oczekuje się, że będziesz aktywnie wydobywać informacje od interesariuszy, co może wymagać cierpliwości i umiejętności zadawania właściwych pytań.
🟡
Evaluate new technologies at a high level and identify key technical questions
Twoja rola w ocenie nowych technologii będzie powierzchowna, skupiając się na zadawaniu pytań, a nie na dogłębnej analizie technicznej.
🟡
Constant support of dedicated consultant
Otrzymasz wsparcie od konsultanta, który może być zewnętrznym pracownikiem lub osobą z innego działu, a nie bezpośredniego przełożonego.