Data Analyst

Quick Facts

• Role: Data Analyst

• Collaboration scope: Technology transformation project in the media industry

• Key focus: Enterprise architecture data quality and integration

• Work mode: Remote + occasional office visits (Warsaw or Kraków)

• Expected effort: ~10 days per month

Description

You will support a technology transformation project by analyzing, consolidating, cleaning, and harmonizing application and infrastructure data for SAP LeanIX and ServiceNow. The work includes mapping application-to-application and application-to-infrastructure relationships, ensuring completeness/consistency/high quality, and monitoring data lineage and completeness. You will also help integrate data between application and infrastructure layers after initial environment setup.

Responsibilities

• Improve and maintain data quality in an Enterprise Architecture environment

• Analyze large, diverse datasets and integrate them with platforms such as LeanIX and ServiceNow

• Consolidate, clean, and harmonize data from multiple sources (Excel, spreadsheets, Confluence, SPARX EA, DataHub, ServiceNow APM/SPM/CMDB) for SAP LeanIX

• Map dependencies and complexity within the environment (application–application, application–infrastructure)

• Monitor and maintain architectural data quality, including lineage and completeness

• Support ongoing data integration between application and infrastructure layers after initial configuration

Requirements

• Minimum 3 years of experience in data analysis

• Minimum 1 year experience implementing AI approaches to streamline daily tasks using MS Copilot and Claude Code

• Ability to import, map, and export data between corporate platforms (SPARX EA, Excel, spreadsheets, Confluence)

• Ability to transform raw unstructured information into readable reports and exports describing the company’s application and technology landscape

• Practical knowledge of Excel and ETL tools

• Knowledge of data cataloging concepts

• English level at least B2

• Analytical thinking, flexibility, openness to learning, and fast onboarding to new topics

Benefits

• Opportunity to work on diverse projects across Software, Embedded, Data, and Cloud Services

• Involvement in additional pre-sales and expert initiatives

• Access to medical care, a sports card, and a cafeteria platform in line with collaboration rules