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IT Analyst – Analytics Enablement

Open 18d

Summary

IT Analyst bridges business needs with data and analytics teams, translating requirements into cloud-based solutions using AWS SageMaker, SQL, Python, and Agile practices.

IT Analyst – Analytics Enablement

Location & Work Model

  • Preferred: Gdynia, Gdańsk, Warsaw or Łódź

  • Hybrid work

Project Start

  • ASAP

Language

  • English (daily communication)

About the role

We are looking for an IT Analyst to support the delivery of modern data and analytics solutions in a cloud environment.

In this role, you will act as a bridge between business stakeholders and development teams, translating business needs into functional and non-functional requirements. You will collaborate closely with data scientists, engineers, and business users to deliver scalable analytics solutions while working in an Agile environment.

Responsibilities

  • Gather, analyze, and document business and technical requirements

  • Translate business needs into functional and non-functional specifications

  • Support the design of data and analytics solutions

  • Collaborate with data scientists, developers, and business stakeholders

  • Coordinate delivery dependencies across multiple teams

  • Participate in Agile ceremonies and contribute to iterative delivery

  • Support the implementation of analytics platforms and cloud-based solutions

  • Analyze complex business processes and recommend improvements

  • Ensure high-quality delivery of analytics capabilities

Requirements (must-have)

  • Experience as an IT Analyst, Business Analyst, or similar role in data and analytics projects

  • Experience working with AWS SageMaker in collaboration with Data Scientists

  • Knowledge of SQL and Python

  • Understanding of Machine Learning concepts

  • Familiarity with CI/CD pipelines

  • Understanding of Big Data concepts

  • Strong analytical thinking and problem-solving skills

  • Excellent communication and stakeholder management skills

  • Experience working in Agile teams

  • Fluent English

Nice to have

  • Experience with MLOps and model monitoring

  • Experience integrating AWS SageMaker with cloud, hybrid, or on-premises solutions

  • Advanced knowledge of Machine Learning algorithms

  • Knowledge of Spark

  • Knowledge of Scala

What we offer

  • Opportunity to work on modern cloud-based analytics solutions

  • Collaboration with data scientists, engineers, and business stakeholders

  • International and Agile working environment

  • Long-term project in a complex enterprise environment

  • Opportunities for professional growth and development

See also

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