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 6,000+ 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.
You will be part of the team responsible for measuring the quality of our Global Inventory data. As a Data Quality Analyst, you will take a lead role implementing data quality standards, developing data quality strategies, and collaborating closely with cross-functional teams to ensure the accuracy, consistency, and reliability of our data assets. Your technical skillset will be instrumental in managing the team’s pipelines for Data Quality monitoring.
Key Responsibilities:
- Develop a strong understanding of Dun & Bradstreet’s Product Event Data.
- Perform baseline data quality monitoring to proactively identify data quality issues.
- Employ advanced data analysis and profiling techniques.
- Liaise with business stakeholders to ensure requirements are clear and documented.
- Automate data quality monitoring solutions and internal processes.
- Create or update data models to ensure that data is stored in an organized structure.
- Utilize Power BI and/or Looker to design, create, connect and administer dashboards which derive insights from data quality monitoring results.
- Communicate with the globally distributed stakeholders using JIRA and Confluence.
- Capture requirements accurately and seek strong understanding of use cases.
- Recommend improvements to internal processes.
- Review data to identify patterns or trends that may indicate errors in processing.
- Comply with data governance policies and procedures.
- Provide guidance and mentorship to junior data quality engineers, fostering their growth and development.
- Support processes to manage reporting obligations across multiple systems and identify methods to automate where appropriate.
Required Traits Include:
- Bachelor's degree in Business Analytics, Computer Science, Information Technology, or a related field.
- 7+ years of experience and demonstrated in-depth knowledge of data analysis, querying languages, data modelling, and the software development life cycle.
- Expertise in SQL (preferably Bigquery).
- Proficient in Python.
- Agile mindset and deep understanding of agile project management (Scrum/Kanban).
- Experience in Database design, modelling, and best practices.
- Experience with cloud computing technologies (preferably GCP).
- Experience with PowerBI, Looker or similar data visualization tool.
- Analytical, process improvement and problem-solving skills.
- Strong communication and the ability to articulate data issues and solutions.
- Commitment to meet deadlines and uphold the release schedule.
- Experience collaborating across time zones as part of a global team.
- Experience with Microsoft Suite, including Excel, Word, Outlook and Teams.
This position internally titled as Specialist, Data Quality
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