Margo

Data Platform Product Owner / Business Analyst

150 - 170 PLN/ godz./ godz.B2BB2B (netto)

NieokreśloneZdalnie·WarszawaFull-time·B2B

#446912·Dodano miesiąc temu·5

Źródło: Margo

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Tech Stack / Keywords

DataDatabricks AzurePower BISQL Jira Confluence Agile

Podsumowanie oferty

The role involves coordinating the functional and delivery aspects of data platform initiatives for business domains like Client Data or Sales Strategy Data. It connects multiple stakeholders, including business owners, architects, and engineering teams, to ensure data products are well-defined, scalable, and trustworthy. Responsibilities include managing requirements collection, translating them into user stories in Jira, validating data quality, and collaborating with reporting teams. The position emphasizes continuous improvement of data platform processes and delivery practices.

Wymagania

Experience as a Tech Product Owner, Business Analyst, System Analyst, or similar role.
Strong understanding of data, data structures, data models, sources, pipelines, transformations, and data quality.
Ability to explain and validate data 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.
Familiarity with Databricks, Azure data services, and Power BI.
Ability to use SQL or equivalent data investigation techniques for exploring data, validating requirements, and investigating quality issues.
Strong communication, coordination, and documentation skills.
Proactive and curious mindset with independent investigative ability.
Experience with Agile methodologies, Jira, and Confluence.

Obowiązki

Coordinate the end-to-end functional delivery of data platform initiatives from discovery through handover to operational owners.
Gather and document business and data requirements.
Translate requirements into user stories and acceptance criteria in Jira.
Understand, analyze, and validate data structures, sources, transformations, and business rules.
Validate data quality and output consistency.
Maintain project and data documentation in Confluence.
Collaborate with reporting and analytics teams by providing definitions, data context, and requirements for downstream reporting (does not own report development).

Margo

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