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Principal Data Analyst (R-18111)

Principal Data Analyst (R-18111)

Dun & BradstreeDublin, Ireland
6 days ago
Job description

Why We Work at Dun & Bradstreet Dun & Bradstreet combines global data and local expertise to help clients make smarter decisions. With 6,000+ people in 31 countries, we are a team of diverse thinkers and problem solvers who all share a common curiosity : to find new ways to turn data into value. If you share this curiosity and want to be part of a future-ready company, come join us! Learn more at .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.
  • All Dun & Bradstreet job postings can be found at and . Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.Notice to Applicants : Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever's and , which governs the processing of visitor data on this platform.#LI-DNI

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    Data Analyst • Dublin, Ireland