Senior Data Analyst

Cpl; Connacht; Hybrid; EUR 70,000 - 95,000; Full time

Job summary

CPL seeks a Senior Data Analyst in Galway for a permanent, hybrid role. You will design and optimize enterprise data models, collaborating with DBAs, architects, and domain experts to deliver scalable solutions across data warehouses and lakes.

The position requires 5+ years of data analysis and modeling experience, plus hands-on work with data APIs, warehousing, and data profiling. Strong communication and stakeholder collaboration are essential.

Qualifications

• 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.

Responsibilities

• 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.
• 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.

Skills

Analytical mindset

Problem solving

Communication

Stakeholder influence

Education

Bachelor’s or Master’s in Computer Science or Information Systems

Tools

SAP PowerDesigner

Job description

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.

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.