Data Analyst
Dublin | Hybrid Working
12 month contract - Daily Rate
About the Role
An exciting opportunity has arisen for a Data Analyst to join a growing Data Analytics team within a leading global financial services organisation. This role offers the chance to work at the heart of data quality, analytics, and continuous improvement initiatives, supporting the integrity and management of critical security reference data. You'll combine day-to-day data analysis and quality assurance activities with project-based work focused on improving processes, automation, and data-driven decision making.
This position would suit someone with 1–2 years' experience in data analytics, data management, or financial services, as well as recent graduates with strong analytical skills and relevant internships or project experience.
Key Responsibilities
Perform data analysis to support the quality, accuracy, and integrity of business‑critical reference data.
Investigate data issues, identify root causes, and provide actionable insights and recommendations.
Monitor data quality and identify anomalies, trends, and areas for improvement.
Collaborate with business and technology teams to resolve data‑related challenges.
Support data management and governance initiatives across the organisation.
Develop and maintain reports, dashboards, and analytical outputs to support business decision‑making.
Contribute to process improvement initiatives aimed at increasing efficiency and data quality.
Support the adoption of automation, anomaly detection, and AI‑driven solutions to enhance data management capabilities.
Participate in a variety of analytical, operational, and project‑based initiatives.
Skills & Experience
Essential
Bachelor's Degree in Business, Finance, Data Analytics, Computer Science, Mathematics, or a related discipline.
1–2 years' experience in a Data Analyst, Data Management, or similar analytical role.
Strong analytical and problem‑solving skills with the ability to investigate complex data issues.
Experience working with data management, data quality, or reference data.
Working knowledge of:
SQL
Python or R
Power BI or similar visualisation tools
Strong communication skills with the ability to explain technical concepts to non‑technical stakeholders.
Excellent organisational skills with the ability to manage multiple priorities.
Desirable
Experience within financial services or a highly data‑driven environment.
Exposure to market data or reference data platforms.
Familiarity with Bloomberg, Reuters, or similar data vendor products.
Experience with automation, anomaly detection, machine learning, or AI‑driven analytics solutions.
Understanding of data governance and data quality frameworks.
What We're Looking For
A naturally curious and proactive mindset.
Strong attention to detail and commitment to data quality.
Ability to work independently while also collaborating effectively within a team environment.
Interest in innovation, continuous improvement, and emerging technologies.
Strong stakeholder management and relationship‑building skills.
Passion for using data to solve business problems and drive better outcomes.
What's on Offer?
Opportunity to work with large‑scale financial and reference datasets.
Exposure to cutting‑edge data analytics, automation, and AI initiatives.
Collaborative and supportive team environment.
Excellent career development opportunities within a global organisation.
Hybrid working model with strong focus on learning and professional growth.
Apply Now
If you're passionate about data, analytics, and continuous improvement and are looking to build your career within a dynamic and innovative environment, we'd love to hear from you.
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