Senior IT Analyst – Risk & Data Integration

ALTEN Polska; Województwo małopolskie; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Medical care

Benefits platform

Sport card

Referral program

Newborn layette

Group life insurance

UZ contract possible

Job summary

ALTEN Polska is seeking a Senior IT Analyst in Poland to drive risk systems and data integration projects. You will translate business needs into technical designs, map data flows, and create detailed specifications for developers in collaboration with architects and engineers.

The role requires at least 5 years in system analysis, strong SQL and Oracle skills, and experience handling large, multi-source data.

Qualifications

• Minimum 5 years of experience as a System Analyst.
• Experience translating business requirements into system solutions.
• Knowledge of data flows between systems and data feeds.

Responsibilities

• Analyze business and system requirements.
• Design changes in systems and interfaces.
• Design data flows between systems and data feeds.
• Prepare analytical docs and specs for developers.
• Analyze data in Oracle, data warehouses and Hadoop environments.
• Collaborate with architects, developers and admins during design, testing and implementation.

Skills

Risk systems experience

Data analysis

System integration

Data flow modeling

SQL modeling

Analytical documentation

Stakeholder communication

Independent problem solving

Multidisciplinary background

Tools

Oracle Database

Advanced SQL

Python

Data Warehouses

REST API

JSON/XML

Git

Jira

Confluence

SQL Developer

SQL Developer Data Modeler

Draw.io/Visio

Job description

ALTEN Polska is seeking a Senior IT Analyst in Poland to drive risk systems and data integration projects. You will translate business needs into technical designs, map data flows, and create detailed specifications for developers in collaboration with architects and engineers.

The role requires at least 5 years in system analysis, strong SQL and Oracle skills, and experience handling large, multi-source data.