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Do you believe anything is possible? We believe that with the right people and the right data, anything is possible!
Our Mission:
Dun & Bradstreet holds the world’s largest commercial database, with over 600 million records powered by 30,000 data sources updated 5 million times per day. Our teams in Dublin are harnessing the latest technology stacks to build world-class engineering capabilities and develop flexible, scalable solutions through a cloud-first delivery. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth.
As a Principal Data Analyst within the Prime & GTS team, you will play a pivotal role in shaping our data ecosystem. You will serve as the subject matter expert (SME) for data analysis and data element design, ensuring that data is accurately modeled, mapped, and integrated across systems. Your work will directly influence how data is manufactured, consumed, and trusted across the organization.
As part of the Prime & GTS team, you’ll:
* 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.
About you:
* 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.
We appreciate you may not meet all listed criteria above, but if you have the passion and eagerness to learn and grow, we want to hear from you!!
What’s on offer at D&B (Ireland specific):
* 25 days annual leave (plus 2 paid volunteer days & 1 paid un-sick day)
* Holiday buy & sell (the option to buy or sell up to 5 additional days per year)
* Flexible working - hybrid model
* Employee Health Insurance
* Mental Health Support program
* Pension Contribution
* Family Friendly Leave (Maternity, Paternity, Parental, Marriage and Bereavement)
* Life Assurance
* Educational Assistance Program
* Life-Style Account (D&B will match your contributions up to €40 per month and can be used to claim for a range of health-related, leisure or lifestyle activities)
At Dun & Bradstreet, we are 6,000 friendly colleagues around the world waiting to meet you and give you the opportunity to grow your career
All employees and contractors working in D&B should be aware that they have responsibilities in relation to the Company’s Business Management System. This relates to information and its security, quality, environment and health and safety both during and post-employment with D&B
Dun & Bradstreet is an Equal Opportunity Employer
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
* Industries
Information Services
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