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Principle

Data Analyst - Finance Reporting & Insights - Global Tech

Principle
Ireland · Full-time · Entry

If you enjoy turning data into clear, actionable insight, this role will suit you.

A great opportunity for an experienced Data Analyst to join a global technology company, supporting finance teams with reporting, automation, and data analytics initiatives.


You'll play a key role in driving process improvements, building scalable reports, and using data to deliver meaningful insights to business leaders.


The Offer

  • Attractive Annual Salary up to €87,000 doe pro-rata
  • 11-month contract with a possibility of extension - PAYE
  • Paid weekly through us Principle HR
  • Hybrid role - 3 days onsite - Dublin City


What You'll Do

  • Collaborate with finance and business teams to gather requirements and deliver effective reporting solutions
  • Design and optimise dashboards and analytics using Workday reporting and Prism Analytics
  • Analyse datasets to identify trends, process gaps, and opportunities for automation
  • Support testing, UAT, and change management activities related to analytics and reporting tools
  • Work within an Agile/Scrum environment to deliver continuous improvements


What You'll Bring

  • 5+ years of experience as a Data Analyst in a finance or enterprise environment
  • Strong understanding of data modelling, reporting, and business requirements gathering
  • Workday Pro Financial Reporting Services and/or Prism Analytics certifications (highly desirable)
  • Hands-on experience with SQL, Python, or R (advantageous)
  • Excellent communication and stakeholder management skills
  • Demonstrated ability to identify process gaps and propose improvements


If you're looking for a data role that blends technical depth with business impact, we'd like to hear from you.


Apply Now via LinkedIn or through principlehr.com for immediate consideration.

Key Skills

Ranked by relevance

python
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Posted
Oct 17, 2025
Type
Full-time
Level
Entry
Location
Dublin
Company
Principle

Industries

Business Intelligence Platforms Data Infrastructure Analytics Information Services

Categories

Analyst Engineering Information Technology

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