Business Analyst (ML & AWS SageMaker)
Summary
Business Analyst bridges business needs with ML/AWS SageMaker teams, defining requirements for data and analytics solutions while collaborating with stakeholders and developers.
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