Principal Data Analyst (R-18111)
- Dublin
- Permanent
- Full-time
- Act as the Principal Data Analyst SME, advising on data element creation, mapping, corrections, and operational data issues.
- Lead data analysis efforts to understand data flows, transformations, and dependencies across systems.
- Collaborate with business units and IT teams to ensure accurate data integration and transformation.
- Review and refine data element requirements, ensuring alignment with existing architecture and minimal disruption.
- Serve as a trusted advisor on data architecture, collaborating closely with engineering teams.
- Communicate effectively with stakeholders, translating complex data concepts into actionable insights.
- Guide and mentor team members on best practices in data analysis and engineering.
- Minimum 10+ years of experience in data analysis, with a strong background in developing data schemas and engineering data elements.
- Proven expertise in SQL, and working with structured and semi-structured data formats such as XML and JSON.
- Deep understanding of columnar database architectures and performance optimization techniques.
- Extensive experience with Big Data platforms and technologies, including ETL pipelines, and a comprehensive grasp of the data lifecycle-from ingestion and cleansing to transformation, enrichment, and packaging.
- At least 6+ years of hands-on experience in Data Engineering, including building and maintaining Data Warehouses, Data Lakes, and real-time data streaming solutions.
- Proficiency with cloud platforms such as Google Cloud Platform (GCP) and Amazon Web Services (AWS).
- Demonstrated experience working in Agile environments as part of a data platform or engineering team.
- Hands-on experience with modern data engineering tools and environments such as Amazon Redshift, Snowflake, and Google BigQuery, ideally at enterprise scale.