Senior Data Analyst

Position:

Senior Data Analyst

Location:

Galway, (Hybrid)

Type:

Permanent

Your Qualifications & Experience:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field (or equivalent practical experience).
• Minimum of 5 years’ experience in data analysis, data modeling, and database development, with strong exposure to PL/SQL and data integration concepts.
• Hands-on experience with data API design, data warehousing, data profiling, and enterprise data modeling.
• Experience using data modeling tools such as SAP PowerDesigner or comparable platforms.
• Strong analytical mindset with excellent problem-solving capabilities.
• Solid understanding of the full database development lifecycle, including design, coding, testing, and optimization.
• Ability to communicate effectively with both technical and non-technical audiences, both verbally and in writing.
• Proven ability to collaborate across teams and influence stakeholders at various levels within the organization.

Your Technical Skills & Competencies

• Experience using data modeling tools such as SAP PowerDesigner or comparable platforms.
• Strong analytical mindset with excellent problem-solving capabilities.
• Solid understanding of the full database development lifecycle, including design, coding, testing, and optimization.
• Ability to communicate effectively with both technical and non-technical audiences, both verbally and in writing.
• Proven ability to collaborate across teams and influence stakeholders at various levels within the organization.

Your Skills:

Data Architecture & Modeling

• Develop high-quality conceptual and logical data models that accurately represent enterprise-wide data requirements across multiple domains.
• Translate logical models into optimized physical data designs for various platforms, including transactional systems, data warehouses, and data lakes.
• Explore and evaluate emerging tools, techniques, and best practices in data design and analytics.
• Produce clear documentation and present data solutions to stakeholders for validation and approval.
• Support the standardization and reuse of data through shared APIs and consistent design practices.
• Align technical data definitions with business terminology within data cataloging tools.

Technical Leadership & Collaboration

• Ensure all data solutions adhere to organizational standards and long-term technology strategies.
• Work closely with database administrators, architects, and domain experts to build scalable and maintainable data models.
• Promote reuse of existing enterprise data models to reduce duplication and improve efficiency across initiatives.

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