Why We Work at Dun & Bradstreet

Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,500+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers.

Team Overview:

D&B’s Canada Data and Operations team are the owners of our Canada data supply chain. We are responsible for the quality of Canada business data and the supply chain delivering that data to customers. Our team partners with our Global Data Owners, Technology, Operations, and Sales teams to implement our Canada data improvement strategy.

We leverage technology to transform our data maintenance from a reactive, manual update process to a proactive automated data maintenance process. This transformation is a wealth of opportunity for anyone who can innovate and deliver improved data quality on a larger scale, with faster turnaround time and higher efficiency.

• The data engineer will report directly to the Data & Operations leader for Canada.
• Responsibilities will be
• Work with our data and operations team to improve the overall quality of data delivered to customers
• Develop data ingestion and mastering processes on new structured and unstructured data sources to synthesize new insight and enhance production database
• Identification, design and implementation of process improvements including redesigning current infrastructure/process for greater scalability
• Automation of manual processes
• Building required infrastructure to support development and production environments using AWS, S3, GCP, No Sql and SQL technologies
• Building new analytical processes providing insight to data quality issues and implementation of data improvement solutions
• Build processes to fetch data from open data sources, eg web sites
• Analysis, development, and implementation: Work independently and with the team to identify data quality and supply chain issues. Determine and implement solution
• Operations: Ensure that DIME (automated data ingestion and mastering engine) operates optimally on a daily basis
• Data ingestion: Map new data sources into DIME and build automated ingestion process
• Infrastructure optimization and enhancements: Identify and implement efficiency improvements in our current data maintenance processes; migrate current DIME installation to AWS.

• Bachelor’s degree in computer science, data science, information systems, or other related field or equivalent work experience.
• 3+ years work experience on large data projects – defining and implementing data analysis and improvement processes in a MS-SQL Server environment
• Ability to perform root cause analysis on external and internal processes and data to identify data quality improvement opportunities
• Analytical skills associated with working on large structured and unstructured datasets
• Required technical proficiency - Microsoft SSIS and Sql Server, Python, C#, writing and tuning SQL queries, stored procs and functions
• Additional beneficial experience/skills – Graph database technology, AWS, GCP, No Sql, Sql Server administration, R, machine learning, web technologies, data mapping from multiple data sources
• Strong organization skills with attention to detail
• Ability to clearly communicate problem statement and solution Able to work independently and willing to learn new skills through independent learning

Internally this job is titled as Analyst II

All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

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