Data Product Analyst

• 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.

Nice to have:

• Hands-on SQL or data-profiling capability.
• Experience with commerce, retail, e-commerce, customer, product, pricing, or transaction data.
• Experience with data governance, metadata, data lineage, or data-quality frameworks.
• Familiarity with tools such as Jira, Confluence, Swagger/OpenAPI, Postman, Collibra, Databricks, or Snowflake.
• Experience supporting shared data platforms or foundational data capabilities used by multiple products.

• 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.

Initial deliverables:

• A prioritised and sequenced backlog with clear ownership, dependencies, and decision gates.
• Use-case canvases, epics, user stories, and acceptance criteria.
• Data and KPI requirements, source mappings, and documented gaps.
• Validation evidence and recommendations for subsequent delivery stages.
• Decision-ready materials and a structured forward backlog.

Fluent English and availability to work within the EU time zone required.