Finance Data Analytics & Automation Analyst

Abbott Laboratories

Pettigo

On-site

EUR 52,000 - 75,000

Full time

14 days+

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Job summary

Abbott Ireland Diabetes Care Division is seeking a Financial Analyst to enhance financial reporting, analytics, and automation. You will drive data-driven insights, build dashboards, and partner with operations to inform budgeting and planning.

This role emphasizes automation, data governance, and continuous improvement across finance processes. The role focuses on moving away from manual reporting toward streamlined, scalable solutions, leveraging tools like Power BI, Excel, SQL, and Python

Qualifications

  • Degree in Finance, Accounting, Economics, Data Analytics, or related field.
  • ACA / ACCA / CIMA (or working towards) preferred.
  • Data analytics certifications (e.g., Microsoft, Tableau, Python) are advantageous.
  • Advanced Excel (Power Query, Power Pivot) and Power BI experience.
  • Strong analytical, communication, and stakeholder engagement skills.

Responsibilities

  • Deliver accurate financial reporting, forecasts, and variance analysis.
  • Partner with operations to translate performance data into financial insights.
  • Support budgeting, forecasting, and long-range planning processes.
  • Develop dashboards and data models to strengthen performance tracking.
  • Automate recurring financial reports and optimise finance workflows.
  • Maintain data governance and documentation for models and reports.

Skills

Financial analysis
Data analytics
Dashboards
Automation
Communication
Problem solving

Education

Degree in Finance, Accounting, Economics, Data Analytics, or related field

Tools

Power BI
Excel (Power Query/Power Pivot)
SQL
Python
ERP (SAP/Oracle)

Job description

Abbott Ireland Diabetes Care Division is seeking a Financial Analyst to enhance financial reporting, analytics, and automation. You will drive data-driven insights, build dashboards, and partner with operations to inform budgeting and planning.

This role emphasizes automation, data governance, and continuous improvement across finance processes. The role focuses on moving away from manual reporting toward streamlined, scalable solutions, leveraging tools like Power BI, Excel, SQL, and Python

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