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.
Responsibilities
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.
For more info call Michael 01-6146058 or e:[email protected]
#LI-MF7