Data Products Analyst — Bridge Business & Tech in Banking

Ework Group; Województwo pomorskie; Hybride; PLN 120 000 - 180 000; Plein temps

Résumé du poste

Ework Group is seeking a Business Data Analyst to join a Nordic bank project focused on Data Products. You will bridge business needs with developers to deliver advanced data solutions within an agile team, ensuring data quality and enabling analytics across stakeholders.

The role emphasizes cross-functional collaboration, independence in delivering features, and applying data hygiene practices in a complex data landscape.

Qualifications

• Proficiency in SQL and Spark SQL for data analysis.
• Experience with Hive and big data technologies.
• Strong English (C1) proficiency.
• Experience in data analysis, data hygiene and data quality.
• Ability to work with complex requirements.
• Ownership and independence in tasks and user stories.
• Analytical thinking and problem-solving skills.
• Good communication with business users.
• Familiarity with machine learning concepts and CI/CD basics.

Responsabilités

• Act as a link between business stakeholders and developers to ensure high-quality IT solutions are delivered.
• Contribute to building common capabilities for Data Products.
• Design advanced data and analytics solutions with Data Products.
• Collaborate with stakeholders across the bank to elicit business features.
• Manage delivery dependencies across teams and organisational units.
• Work in an agile environment as an integral part of a cross-functional agile delivery team.

Connaissances

SQL

Spark SQL

Data analysis

Data quality

Analytical thinking

Problem solving

Communication

Independence

Ownership

Big data

CI/CD basics

Machine learning basics

Outils

Hive

Description du poste

Ework Group is seeking a Business Data Analyst to join a Nordic bank project focused on Data Products. You will bridge business needs with developers to deliver advanced data solutions within an agile team, ensuring data quality and enabling analytics across stakeholders.

The role emphasizes cross-functional collaboration, independence in delivering features, and applying data hygiene practices in a complex data landscape.