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
dnb.com/careers
.
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.
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