Financial Analyst - Data Analytics & Automation

Abbott in Ireland

Abbott has been operating in Ireland since 1946 and serves the Irish market with a diverse range of healthcare products including diagnostics, diabetes care, medical devices and nutritional products. In Ireland, Abbott currently employs about 6,000 people across ten sites located in Dublin, Donegal, Clonmel, Cootehill, Galway, Kilkenny, Longford and Sligo.

Please note any offer of employment for this position is conditional upon the successful completion of a pre-employment medical examination, including drug and alcohol screening, conducted by a medical practitioner designated by the Company.

Abbott Ireland Diabetes Care Division Donegal

The Abbott Diabetes Care division based in Donegal Town manufactures FreeStyle blood glucose test strips and FreeStyle Sensors for use in diabetes management. Among Abbott Diabetes Care leading brands are the FreeStyle Precision, FreeStyle Lite and FreeStyle Libre system.

Role Purpose

The Financial Analyst will support business performance through advanced financial analysis, data modelling, and the automation of reporting processes. This role is pivotal in moving the function away from its current reliance on manual, non-automated activities, and toward a more streamlined and efficient way of working. By introducing data-driven insights and automation solutions, the role will significantly enhance the speed, accuracy and impact of financial reporting and decision-making

Key Responsibilities

1. Financial Analysis & Business Partnering

Deliver accurate and timely financial reporting, forecasts, and variance analysis

Partner with operational teams to translate performance data into actionable financial insights

Support budgeting, forecasting, and long-range planning processes

Identify key business drivers and build financial models to reflect them

Challenge assumptions and provide data-driven recommendations

2. Data Analytics & Insights

Analyse large datasets to identify trends, risks, and opportunities

Develop interactive dashboards and visualisations using tools such as Power BI etc

Build and enhance data models to improve performance tracking

Perform ad hoc analysis to inform strategic and commercial decision-making

Apply statistical and analytical techniques to strengthen forecasting accuracy

3. Automation & Process Improvement

Drive the automation of recurring financial reports, replacing existing manual, time-intensive processes

Identify legacy reporting and analysis activities that can be streamlined or eliminated

Automate recurring financial reports using tools such as:

Excel (Power Query, Power Pivot, VBA)

Power BI / Power Automate

Python / SQL (where applicable)

Identify manual processes and implement automation solutions

Standardise and optimise finance workflows to improve efficiency, consistency and scalability

Collaborate with IT / data teams to enhance data architecture and availability

4. Data Governance & Quality

Ensure accuracy, consistency, and integrity of financial data

Design and maintain appropriate checks and controls within automated processes

Maintain documentation for models, reports, and automation solutions

5. Systems & Continuous Improvement

Support implementation and enhancement of ERP and reporting systems

Contribute to finance transformation initiatives, with a focus on digitisation and automation

Stay current with emerging tools and analytics techniques

Promote a data-driven and automation-first culture within the finance function

Qualifications & Experience

Education

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

Professional Qualifications (Preferred but not essential)

ACA / ACCA / CIMA (or working towards)

Data analytics certifications (e.g., Microsoft, Tableau, Python) are advantageous

Technical Skills

Advanced Excel (including Power Query and Power Pivot)

Strong experience with Power BI (or similar BI tools)

Working knowledge of SQL and/or Python (desirable)

Experience with ERP systems (SAP, Oracle, etc.)

Core Competencies

Strong analytical and problem-solving skills, with the ability to turn data into meaningful business insight

High attention to detail and data accuracy

Strong communication, able to engage and influence stakeholders at all levels

Proactive and curious mindset, with a focus on continuous improvement and automation

Comfortable working across finance and data/technology, with an interest in digital transformation