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HR DATA ANALYST

Eos Talent
Department:Finance
Type:REMOTE
Region:EU
Location:County Dublin, Ireland
Experience:Associate
Estimated Salary:€45,000 - €55,000
Skills:
HRISPAYROLLDATA MIGRATIONDATA CLEANSINGDATA VALIDATIONREPORTINGCOMPLIANCERIPPLINGBAMBOOHRGUSTO
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Job Description

Posted on: June 8, 2026

Job Title

HR Data Analyst

Location

Remote – Ireland

Contract Type

6 Month Contract

Role Overview

I’m currently partnering with a fast-paced, international technology organisation operating within the blockchain space to appoint a HR Data Analyst on an initial 6-month contract basis.

This is a fully remote role based in Ireland and would suit someone who enjoys working with HR data, systems, compliance, accuracy and process improvement. The organisation is currently going through significant HR systems and data transformation work, so they are looking for someone highly organised, analytical and naturally detail-oriented who can support data integrity across HR, payroll and finance-related processes.

This is not a traditional people-focused HR role. It is best suited to someone who enjoys structure, logic, systems, reporting, compliance and ensuring data is accurate and reliable.

The Opportunity

As HR Data Analyst, you will work closely with HR, payroll, finance and systems stakeholders to support a number of key global HR data and compliance initiatives.

You will be involved in HRIS and payroll data migration, data cleansing, validation, reporting, audit support and process improvement. The environment is fast-moving and evolving, so this role would suit someone adaptable, resilient and comfortable working through ambiguity while maintaining a high level of accuracy.

Key Responsibilities

  • Manage, maintain and validate HR data across multiple systems.
  • Support the transition from BambooHR and Gusto into Rippling.
  • Conduct regular HR data audits and identify inconsistencies, gaps or risks.
  • Support HRIS and payroll data migration projects.
  • Validate HR, payroll and finance-related data to ensure accuracy and compliance.
  • Work with HR, payroll, finance and systems teams to improve workflows and system connectivity.
  • Support access management, permissions and custom field configuration within HR systems.
  • Assist with payroll and accounts payable-related administration and reconciliation work.
  • Support reporting, budgeting and compliance tracking activities.
  • Help improve HR data processes, documentation standards and audit trails.
  • Proactively identify opportunities to make HR data processes more scalable, accurate and reliable.

Requirements

  • 2–4 years’ experience in a HR data, HR operations, HRIS, payroll, compliance or data-focused role.
  • Strong analytical and numerical ability.
  • Experience working with HR systems, payroll data or finance-related processes.
  • Previous exposure to payroll and/or accounts payable would be highly advantageous.
  • Strong attention to detail and a high level of accuracy.
  • Ability to independently check, validate and sense-check data.
  • Comfortable working with evolving systems, processes and transformation projects.
  • Strong organisational skills with the ability to manage multiple priorities.
  • Excellent communication skills and ability to work across HR, payroll and finance teams.
  • Experience with Rippling, BambooHR or Gusto would be advantageous.
  • Must be based in Ireland.
  • Fluent English essential.

The Ideal Person

This role would suit someone who:

  • Enjoys working with data, systems and process improvement.
  • Has a logical, structured and analytical approach.
  • Takes ownership and follows tasks through to completion.
  • Is compliance-focused and detail-oriented.
  • Enjoys problem solving and improving processes.
  • Can work well in a fast-paced, scaling environment.
  • Is proactive, dependable and comfortable working independently.

Additional Information

  • Job Title: HR Data Analyst
  • Location: Remote, Ireland
  • Contract: Initial 6-month contract
  • Start Date: Immediate availability or short notice preferred
  • Industry: International technology / blockchain
  • Working Model: Fully remote
Originally posted on LinkedIn

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