Business Data Analyst

Business Data Analyst

Dublin / Hybrid - €500 per day

Stamp 4 / EU Citizens only

Global Retailer requires a BA / Data Analyst for an initial 6 month day rate contract.

Business Engagement

• Act as a trusted partner to business stakeholders across all our teams.
• Lead discovery sessions and workshops to surface business questions, challenges, and opportunities.
• Translate business needs into clear data use cases, metrics, and meaningful data & insight requirements.
• Document business meaning, context, and definitions to support consistent understanding of data across the organisation.

Data Engineering Requirements & Delivery

• Convert business requirements into detailed technical specifications, including source-to-tagpet mappings, data transformations, and logic definitions.
• Work closely with Data Engineers to shape data pipeline, integration, and modelling requirements.
• Support Agile delivery processes including backlog refinement, sprint planning, prioritisation, and acceptance criteria definition.

Data Quality, Definitions & Governance

• Define and maintain business metric and KPI definitions to ensure clarity and consistency.
• Establish data quality rules, validation criteria, and operational checks in collaboration with business and engineering teams.
• Champion data stewardship, metadata documentation, and governance best practices across domains.

Analytics Enablement & Reporting Support

• Partner with BI and analytics teams to validate that dashboards and data products meet business needs.
• Support UAT, data validation, and troubleshooting of new datasets, models, and pipelines.
• Enable self-service analytics by improving the accessibility, usability, and clarity of data assets.

Continuous Improvement & Value Realisation

• Proactively identify new data opportunities that support revenue growth, cost efficiency, and enhanced experience.
• Recommend improvements to requirements processes, data product lifecycle, documentation, and testing practices.
• Contribute to the development of a scalable, modern data environment through consistent standards and re-usable assets.

Key stakeholders

• You will work closely with Data Engineering team, Finance, Commercial, Operations, IT & Group commercial teams.

Performance measures

• Strong, collaborative relationships established with both business and technical teams.
• Recognized as a key data domain expert within the organisation.
• Consistent, well-documented, and widely adopted data definitions and metrics.
• Faster time-to-insight across revenue, operations, and experience analytics.
• High-quality requirements that improve reliability and accuracy of data outputs.

Qualifications, knowledge, and experience Essential

• 5+ years' experience as a Business Analyst or Data Analyst
• Highly influential, pood communicator with excellent written and verbal skills.
• Proven ability to translate complex business issues into clear technical requirements.
• Hands-on experience working with Agile delivery methodologies.
• Experience working with cross-functional teams and third-party suppliers to deliver data solutions.

Desirable

• Exposure to modern cloud data platforms (e.p., Snowflake, BipQuery, Databricks, Azure/AWS).
• Understanding of data governance, master data management, and data quality frameworks.
• Experience supporting analytics, advanced analytics, or machine-learning initiatives.
• Ability to use SQL to validate data or perform basic exploratory analysis.
• Familiarity with BI/reporting tools such as Power BI, Tableau, or similar.