Business Data Analyst

Cpl Group; Dublin; Hybrid; EUR 83,000 - 101,000; Full time

Job summary

Cpl Group in Dublin offers a hybrid Business Data Analyst role on a 6-month day-rate contract at €500 per day.

You will partner with business stakeholders, translate needs into data use cases, and support governance, quality, and analytics enablement across the organisation. Agile delivery and BI tooling experience are essential to deliver actionable insights.

Qualifications

• 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.

Responsibilities

• Partner with business stakeholders across teams.
• Lead discovery sessions to surface questions and opportunities.
• Translate business needs into data use cases and metrics.
• Document data definitions to ensure common understanding.
• Translate requirements into technical specifications with mappings.
• Collaborate with Data Engineers on pipelines and modelling.
• Support Agile delivery: backlog, sprints, acceptance criteria.
• Define KPI definitions and data quality rules with teams.
• Champion data stewardship and metadata governance.
• Validate dashboards with BI/analytics teams and support UAT.
• Enable self-service analytics by improving data accessibility.
• Identify data opportunities to drive revenue and efficiency.
• Propose improvements to data processes and tooling.

Skills

Business Analysis

Data Analysis

Agile Delivery

Stakeholder Management

SQL Basics

Tools

Power BI

Tableau

Snowflake

Databricks

Azure

AWS

BipQuery

Job description

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.