Data Product Analyst
New
B
BPX S.A.Analytics
Wrocław, Grodzka, Wrocław, Country code: pl; Remote, with occasional travel to UK, approximately once per quarter, EU time zoneContractSenior
Salary not disclosed
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Job Details
- Languages
- Fluent English
- Experience
- At least 5 years of experience
- Required Skills
- SQLJiraData modelingConfluenceAnalytical thinkingData analytics
Requirements
- At least 5 years of experience as a Data Product Analyst, Senior Business Analyst, Technical Business Analyst or Analytics Product Analyst.
- Strong experience translating business objectives into detailed functional, technical and data requirements.
- Hands-on experience creating epics, user stories, acceptance criteria, process flows and data mappings.
- Practical understanding of data models, APIs, integrations, data pipelines and data-quality principles.
- Experience managing or refining product backlogs and identifying dependencies across multiple workstreams or use cases.
- Experience working directly with Product Owners, architects, data engineers, governance teams and business stakeholders.
- Experience with prototyping, UAT, user validation and iterative product development.
- Ability to define meaningful KPIs and use evidence to make product recommendations.
- Strong workshop facilitation, stakeholder management and written communication skills.
- Fluent English and availability to work within the EU time zone.
Responsibilities
- Maintain and refine an integrated backlog across shared data foundations and priority business use cases.
- Translate business objectives into use-case canvases, epics, user stories, functional and data requirements, KPIs and acceptance criteria.
- Define data requirements, including sources, entities, grain, keys, access needs, business definitions and data-quality expectations.
- Work closely with Product Owners, business stakeholders, data engineers, architects and governance teams.
- Analyse data using SQL or data-profiling techniques to assess completeness, quality and alignment with agreed business rules.
- Identify dependencies, constraints, risks and data gaps early in the delivery process.
- Support prototype demonstrations, user testing and iterative requirements refinement.
- Gather and document validation evidence to support decisions to stop, iterate, productise or scale individual use cases.
- Prepare concise trade-off analyses, recommendations and decision-ready materials for delivery leadership and governance forums.
- Ensure that requirements remain traceable from initial business objectives through implementation, testing and acceptance.
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