Data Analyst

At Ayvens progress starts with you.

Our ambitions to shape the future of sustainable mobility are powered by our talent. Join us and get better with every move.

Base Location: Leopardstown Dublin

Contract Type: Permanent Full-time

Seniority Level: Experienced

Reporting To: Head of Finance Ayvens Ireland

Who are Ayvens

Ayvens is a global leader in vehicle leasing and mobility solutions managing over 3.3 million vehicles across more than 42 countries. We provide full-service leasing flexible subscriptions fleet management and multi-mobility options to businesses and individuals all while driving digital transformation and working toward net-zero emissions.

In Ireland Ayvens is the market leader managing over 20000 vehicles and serving clients from our Leopardstown headquarters and Ballymount office. As part of the Ayvens and Société Générale global ecosystem we combine the agility of a local team with the stability governance and expertise of a multinational group.

Where does this role fit in

The Business Data Analyst (Operations Insight) will play a central role in making Ayvens Ireland a more data-driven organisation. Working across all business functions with a focus on Operations Commercial and Finance the successful candidate will transform raw operational data into clear actionable insights and valuable business information.

This is a hands-on practical role ideal for someone who enjoys understanding how the business works finding the story behind the numbers and helping colleagues make better decisions every day. The role bridges the gap between business teams and IT laying the foundations for future BI maturity and self-service analytics across the organisation. This role focuses on practical business-driven analytics rather than advanced statistical or machine-learning work.

What will you be doing

Reporting and Insight

• Manage the full reporting lifecycle (requirements design build test deploy support).
• Engage with business leads across the organisation to understand reporting needs.
• Collaborate with business stakeholders to define KPIs and standardise reporting logic.
• Develop and maintain operational dashboards and KPI reports in Power BI and Excel.
• Ensure reports/datasets are version-controlled documented aligned with KPI definitions.
• Automate recurring reports and enhance visibility of performance trends.

Data Sourcing and Quality

• Work closely with the IT team to extract and integrate data from core OLTP systems.
• Validate reconcile and document data sources calculations and transformation logic.
• Work with data owners to ensure secure compliant and efficient access to source data.
• Identify and drive improvements in data accuracy consistency and governance.
• Contribute to the development of a unified OLAP data model and improved BI tooling.

Process Improvement

• Analyse trends to highlight inefficiencies or emerging risks.
• Support continuous improvement initiatives with measurable data-driven insights.
• Provide analysis and visibility to support operational and strategic decision-making.

Capability Building

• Help define core building blocks for future BI including reusable datasets and KPI standards.
• Collaborate closely with IT teams to improve data accessibility performance and structure.

What would our ideal candidate have

• 35 years experience designing developing and supporting business reports/dashboards.
• Proven ability to translate stakeholder need to robust accurate and maintainable reporting.
• Advanced skills in Power BI and Excel (Power Query data modelling DAX automation).
• Strong SQL capability working with relational databases such as DB2 and SQL Server.
• Experience applying version control and documentation standards to reporting deliverables.
• Strong analytical and problem-solving skills with high attention to detail and data accuracy.
• Excellent communication and stakeholder engagement across technical/business teams.
• Organised self-driven able to manage competing deliverables with minimal supervision.

What qualifications or background would be useful

• A degree in Data Analytics Computer Science Information Systems or a related field.
• Understanding of data modelling principles OLAP concepts and KPI frameworks.
• Knowledge of data governance and quality management practices.
• Experience working with data from ERP business applications and financial systems.
• Familiarity with fleet management motor industry vehicles leasing and related businesses.
• Exposure to scripting or automation tools (e.g. Python VBA or Power Automate).
• A track record of implementing practical BI solutions in complex operational environments.

Why Ayvens

With over 3.4 million vehicles managed across more than 42 countries we provide full-service leasing flexible subscription services fleet management services and multi-mobility solutions to customers of all sizes including large corporates SMEs professionals and private individuals. By leveraging our unique position to lead the way to net zero and further shape the digital transformation of the industry we are well-positioned to meet the evolving mobility needs of our clients and provide them with the solutions they need to thrive.

At Ayvens we believe that our success is driven by our commitment to customer satisfaction. Our team is dedicated to delivering innovative solutions and technology-enabled services that help our customers focus on their everyday business. Were committed to sustainable mobility and have made it a core part of our everything we do were guided by the principles of authenticity curiosity commitment and collaboration. We aim to foster an organisation thats diverse in people and ideas where everyone can thrive and be themselves no matter who they are.

Join us on this exciting journey as we continue to enable the transformation towards large scale adoption of sustainable mobility and provide our customers with the solutions they need to succeed. Follow our page for the latest updates news and insights.

*ALD Automotive LeasePlan are rebranding to Ayvens across all 42 countries by 2025.