HR Data Product Owner / Business Analyst
New
M
MargoHR data
Workplace type: remote; Locations: Warszawa, Prosta 20, Warszawa, Country code: PLContractSenior
Salary170 - 190 PLN per month
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Job Details
- Languages
- En C1
- Required Skills
- SQLAgileETLMicrosoft Power BIJiraConfluenceWorkdayDatabricks
Requirements
- Experience as a Tech Product Owner, Business Analyst, System Analyst, or similar role.
- Practical understanding of data privacy and responsible data use, particularly for employee or workplace data.
- Ability to identify privacy risks and involve Privacy, Legal, Security, HR, or Data Protection stakeholders when appropriate.
- Strong understanding of data, data structures, data models, sources, pipelines, transformations, and data quality.
- Ability to explain data clearly and validate its meaning and usage with data owners.
- Ability to translate business needs into clear requirements for data and engineering teams.
- Experience writing user stories and acceptance criteria in Jira.
- Experience with Agile ways of working, Jira, and Confluence.
- Familiarity with Databricks, Azure data services, Workday (HR data), and Power BI is a plus.
- Strong communication, coordination, and documentation skills.
- Proactive and curious approach, with ability to investigate data issues independently.
Responsibilities
- Own end-to-end delivery of data platform initiatives, from discovery and scope definition through requirements, development coordination, validation, stakeholder sign-off, and operational transition.
- Gather and document business and data requirements.
- Translate requirements into user stories and acceptance criteria in Jira.
- Analyze and validate data structures, sources, transformations, and business rules.
- Validate data quality and consistency of the resulting output.
- Maintain project and data documentation in Confluence.
- Collaborate with reporting and analytics teams by providing definitions, data context, and requirements for downstream reporting.
- Connect business stakeholders, HR and data owners, privacy stakeholders, architects, and engineering teams.
- Identify privacy risks and involve Privacy, Legal, Security, HR, or Data Protection stakeholders when appropriate.
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