IT Analyst for Analytics Enablement

Jit Team; Województwo pomorskie; Hybrid; PLN 220,000 - 320,000; Full time

Benefits offered by this job

Flexible work organization

International work environment

Scandinavian organizational culture

Training financed by Jit

Job summary

Jit Team is seeking a senior Data Analyst/ML Specialist to bridge business needs with data science and engineering. In a hybrid setup across Gdynia, Gdańsk, Warszawa, or Łódź, you will design data and analytics solutions and collaborate with stakeholders to define features and success metrics.

You will work with AWS SageMaker, Python, and SQL to build scalable ML capabilities in a cloud environment, coordinating with data scientists and delivery teams in an Agile setting.

Qualifications

• Minimum 5 years of experience in analysis
• Experience in AWS SageMaker implementation, preferably in collaboration with data scientists
• Excellent communication and stakeholder management abilities, including experience working with business users
• Familiarity with Machine Learning concepts, CI/CD pipelines, and Big Data technologies
• Practical knowledge of SQL and Python
• Ability to quickly understand new technologies at a high level and ask the right questions to drive effective solutions
• Experience working with complex end-to-end processes and systems

Responsibilities

• Helping to design advanced solutions around data and analytics
• Working closely together with stakeholders to understand the expected outcome and elicit business features
• Managing delivery dependencies towards other teams and organization units
• Working in an Agile environment as an integral part of the cross-functional agile delivery team
• Working alongside data scientists to implement and optimize AWS SageMaker capabilities for end user

Skills

Data analysis

AWS SageMaker

Stakeholder management

Machine Learning concepts

CI/CD

Big Data

SQL

Python

Agile methodologies

Communication

Tools

AWS SageMaker

Python

SQL

Spark

Scala

Job description

Work model

hybrid from Gdynia / Gdańsk / Warszawa / Łódź (2/3 days per week from the office)

Why choose this offer?

• You can expect a flexible work organization
• The international work environment will give you the opportunity to interact with the English language on a daily basis
• Scandinavian organizational culture will provide you with work-life balance, you will gain time for additional training (financed by Jit)
• The Jit community will bring you a nice time during regular integration meetings

Project

You will be involved in a financial project focused on delivering modern data and analytics solutions, supporting the development and operationalization of Machine Learning capabilities in a cloud environment. You will act as a bridge between business stakeholders and development teams, ensuring that business needs are translated into high-quality IT solutions and clear functional as well as non-functional requirements.

Responsibilities you'll have

• Helping to design advanced solutions around data and analytics
• Working closely together with stakeholders to understand the expected outcome and elicit business features
• Managing delivery dependencies towards other teams and organization units
• Working in an Agile environment as an integral part of the cross-functional agile delivery team
• Working alongside data scientists to implement and optimize AWS SageMaker capabilities for end user

Expected competences and knowledge

• Minimum 5 years of experience in analysis
• Experience in AWS SageMaker implementation, preferably in direct collaboration with data scientists
• Excellent communication and stakeholder management abilities, including experience working with business users
• Familiarity with Machine Learning concepts, CI/CD pipelines, and Big Data technologies
• Practical knowledge of SQL and Python
• Ability to quickly understand new technologies at a high level and ask the right questions to drive effective solutions
• Experience working with complex end-to-end processes and systems

Nice-to-have

• Experience implementing model monitoring and MLOps capabilities
• Knowledge of integrating AWS SageMaker model outputs with cloud, hybrid, and on-premises environments
• Advanced understanding of Machine Learning algorithms
• Experience with Spark and/or Scala

Technologies you'll work with

• AWS SageMaker
• Python
• SQL
• Spark
• Scala
• Cloud, Hybrid and On-Premises Integrations

Client – why choose this particular client from the Jit portfolio?

Jit Team has had an over-decade-long relationship with the leading financial group in the Nordic countries, and we are privileged to be our client's premier partner in Poland. At present, over 200 Jit personnel are engaged in the completion of more than 60 projects for this Norwegian major provider of financial services with a global presence and a strong focus on modern technology. Our customer's work atmosphere is epitomized by the Scandinavian culture, which is conducive to people who place emphasis on work-life balance and feedback culture. Furthermore, all projects are executed in international teams, giving constant exposure to the English language.

About Jit Team

The Human Factor of IT

- it’s not just a slogan, it’s a philosophy. The foundation of Jit Team is people, which is why we prioritise you. We employ over 770 experienced experts, to whom we offer developmental projects, a wide range of benefits, and a proprietary professional development programme. Together with clients from around the world, we create innovative IT solutions delivered by highly specialised and efficient teams.

Behind our maxim are also charitable and educational activities. We support schools, universities, and educational institutions by conducting workshops, running educational projects, sponsoring events, and donating learning equipment. We offer internships that help launch careers in IT. We support water rescuers and hospitals by providing the necessary equipment. We also support numerous charitable organisations helping people in need, children, and the elderly. We are a Polish company and we share what we have achieved over more than 15 years of activity. By supporting local initiatives, we contribute to the circulation of good energy.