Senior Data Integration & Enablement Analyst — Hybrid

emagine; Województwo pomorskie; Hybrid; PLN 120,000 - 180,000; Full time

Job summary

emagine is seeking a Data Products Analyst to act as a bridge between business requirements and technical teams, delivering data-focused IT solutions for data products in a hybrid Poland-based project. The role emphasizes collaboration with stakeholders and developers to produce high-quality analytics capabilities.

You will analyze data, ensure data quality, and contribute to data product capabilities within GDM, leveraging SQL and Hive while communicating clearly across teams.

Qualifications

• SQL proficiency required.
• Experience in complex requirements analysis.
• Data analysis, data hygiene and data quality expertise.
• Familiarity with Hive.
• Strong communication skills.
• Ownership of tasks, features and user stories.
• Analytical thinking and problem-solving abilities.
• Basic understanding of machine learning concepts, CI/CD pipelines and big data.

Responsibilities

• Bridge the gap between business needs and developers.
• Contribute to building common capabilities for Data Products within GDM.
• Design advanced data and analytics solutions.
• Collaborate with stakeholders to understand expected outcomes.
• Manage delivery dependencies with other teams and units.
• Participate in an Agile cross-functional delivery team.
• Demonstrate analytical and solution-oriented thinking.
• Handle end-to-end solutions and processes effectively.
• Learn new technologies quickly and ask insightful questions.
• Communicate fluently with business users.

Tools

Hive

Spark

Job description

emagine is seeking a Data Products Analyst to act as a bridge between business requirements and technical teams, delivering data-focused IT solutions for data products in a hybrid Poland-based project. The role emphasizes collaboration with stakeholders and developers to produce high-quality analytics capabilities.

You will analyze data, ensure data quality, and contribute to data product capabilities within GDM, leveraging SQL and Hive while communicating clearly across teams.