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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

See also