IT Analyst for Analytics Enablement room Gdynia

b2bnetwork; Gdynia; On-site; PLN 120,000 - 180,000; Full time

Job summary

b2bnetwork in Poland is seeking a role that acts as a bridge between business needs and developers to deliver high quality IT solutions, translating requirements into functional specs. You will design advanced data and analytics solutions, collaborate with stakeholders across Bank to elicit features, and manage delivery dependencies within agile teams.

Strong communication, analytical mindset, and quick grasp of new technologies are essential; experience with ML concepts and SQL/Python is

Qualifications

• Experience implementing AWS SageMaker with data scientists.
• Strong communication skills and ability to translate business needs.
• Analytical thinking, problem solving, and data-driven mindset.
• Familiarity with ML concepts, CI/CD, and big data.

Responsibilities

• Act as a bridge between business needs and developers to ensure IT solutions meet requirements.
• Design advanced data and analytics solutions and elicit features from stakeholders.
• Manage delivery dependencies across teams and units in an Agile environment.
• Collaborate with cross-functional teams and communicate effectively with business users.

Skills

SQL

Python

Communication

Analytical thinking

Problem solving

ML concepts

CI/CD

Big data

Tools

AWS SageMaker

Job description

Detailed description of work task to be carried out

Act as a bridge between business needs and developers to ensure the delivery of high quality IT solutions based on the requirements coming from business that need to be translated into functional and non-functional requirements

• Helping to design advanced solutions around data and analytics
• Working closely together with stakeholders across Bank to understand the expected outcome and elicit business features
• Managing delivery dependencies towards other teams and organization units across Bank
• Working in an Agile environment as an integral part of the cross-functional agile delivery team
• Have a strong solution-oriented and analytical mindset
• Thrive when working with complex end-to-end solutions and processes
• Have ability to grasp new technologies quickly (on high level) and able to ask right questions
• Is fluent communicator and have experience on working with business users

Must-have knowledge and experience

• Implementation of AWS SageMaker in direct collaboration with data scientists who will be end users
• Communication skills
• Analytical thinking and problem solving
• Familiarity with basic concepts in machine learning, CI/CD pipeline, big data
• Knowledge of SQL and Python

Nice-to-have knowledge and experience

• Implementation of model monitoring and ML Ops capabilities
• Integration of AWS SageMaker model output with cloud/hybrid/on-prem solutions
• Advanced knowledge of ML algorithms
• Knowledge of Spark/Scala