Analyst II, Data Ownership (R-18362)

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.

You will be part of the team responsible for building and continuously improving modern solutions that enable D&Bs global data strategy execution. As a data quality engineer, you will play a crucial role partnering with critical stakeholders to deliver solutions that enable core data strategy functions. This role involves working closely with cross-functional teams to ensure solutions are created to support internal business cases. You will collaborate closely with stakeholders and other data quality engineers to create data quality solutions, automate data strategy processes and drive continuous improvements.

Key Responsibilities:

• Write fast scalable enterprise ready python code to cater to business needs
• Understand DNB proprietary data and create insights by implementing modern solutions, powered by Gen AI and machine learning
• Accelerate data quality innovation by unlocking new insights and intelligent forecasting
• Enable the articulation of customer value and enhanced client insights
• Automate BAU processes and data strategy solutions to improve operational efficiency
• Partner with globally distributed teams to deliver insight-driven solutions
• Develop a strong understanding of Dun & Bradstreet’s inventory data
• Employ advanced data analysis and profiling techniques
• Utilize Power BI (or equivalent) to create and administer dashboards to articulate insights
• Capture requirements accurately and seek strong understanding of use cases
• Re-engineer and improve processes to ensure optimal execution
• Recommend improvements to data quality engineering team’s internal processes
• Maintain comprehensive documentation of data quality engineering processes
• Comply with data governance policies and procedures
• Educate yourself on industry best practices and technologies related to data quality

Key Skills:

• Bachelor's degree in computer science, information technology, or a related field
• 3+ years of experience and demonstrated in-depth knowledge of data analysis, querying languages, data modelling, and the software development life cycle
• Strong skill in python for data wrangling and data analysis
• Strong skill in SQL (preferably Big Query)
• Experience with cloud computing technologies (preferably GCP)
• Understanding of database design, modelling, and best practices
• Good to have skill in GENAI and machine learning
• Good to have experience with Power BI, looker or similar data visualisation tool
• Agile mindset and understanding of agile project management (Scrum)
• Analytical, process improvement and problem-solving skills
• Good communication skills and the ability to articulate solution design that meet business requirements
• Commitment to meet deadlines and uphold the release schedule, and role model good teamwork for colleagues