Data Analyst: EDW/EDL Specialist (Hybrid—Dublin)

Korn Ferry; Dublin; Hybrid; EUR 48,000 - 60,000; Full time

Job summary

Korn Ferry is recruiting a Data Analyst to join a major banking client in Dublin on a hybrid model. You will support data transformation projects across EDW and ED Lake environments, translating requirements into robust data solutions and collaborating with cross-functional teams in an Agile setting.

The role emphasizes data profiling, sourcing, mappings, and documentation, with a focus on bridging technical and business needs in a banking context.

Qualifications

• Proven experience as Data Analyst on data warehouse or transformation projects.
• Strong SQL skills and ability to profile complex datasets.
• Experience with EDW/EDL environments and data mappings.
• Experience in Agile delivery methods (Scrum/Kanban).

Responsibilities

• Analyse data requirements and support delivery of data solutions across EDW and EDL.
• Review data models, identify gaps, and work with BAs, POs, and modelling teams.
• Engage with source system SMEs and stakeholders to understand data and requirements.
• Document data sourcing, mappings and transformations from sources to target layers.
• Produce source-to-target data mappings and supporting technical docs.
• Support downstream teams with data-related queries and testing.
• Communicate complex data concepts to technical and business stakeholders.
• Participate in Agile ceremonies and help backlog prioritisation.

Skills

Data warehousing concepts

SQL

Data modelling

Stakeholder management

Agile delivery

Data quality

Tools

Informatica

Teradata

Job description

Korn Ferry is recruiting a Data Analyst to join a major banking client in Dublin on a hybrid model. You will support data transformation projects across EDW and ED Lake environments, translating requirements into robust data solutions and collaborating with cross-functional teams in an Agile setting.

The role emphasizes data profiling, sourcing, mappings, and documentation, with a focus on bridging technical and business needs in a banking context.