Dun & Bradstreet unlocks the power of data through analytics creating a better tomorrow. Each day we are finding new ways to strengthen our awardwinning culture and accelerate creativity innovation and growth. Our 6000 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/careers.
As part of Dun & Bradstreets North America Data Management (NADM) and Workflow Shared Capabilities and Automation (WSCA) teams this role is vital in driving change and leading core initiatives. This manager will lead a team of 11 analysts across each of these teams 6 from NADM and 5 from WSCA) focused on improving the quality of the US and CA databases along with developing workflows and automation capabilities to drive efficiencies across Data Operations providing insights to our clients and working to progress the organization. Daily functions include but are not limited to coaching development and mentorship.
Essential Key Responsibilities:
Support North America Data Management (NADM) and Workflow Shared Capabilities and Automation (WSCA)processes based on D&Bs established best practices methodologies and tools.
Work with internal and external stakeholders sometimes solving complex and urgent problems
Champion the use of new tools and techniques to maximize big data opportunities and leverage the latest data engineering thinking and techniques.
Be the goto expert on specific aspects of data operations
Managing large datasets familiarity with AI machine learning concepts
Engage clients and D&B colleagues to identify business needs and develop implement and manage solutions.
Build relationships with key internal and external stakeholders to support governance initiatives and products building and testing Proof of Concept that meet business needs.
Search for new alternative solutions based on the use cases customer problems by business unit data quality and additional data needs.
Manage and oversee the development of larger projects across the organization working with product operations compliance and sales.
Essential Skills:
7 years of experience in a dataengineering role with experience in building a data warehouse environment ingestion pipelines and data mastering procedures.
7 years of experience as a people leader with a proven track record of team member satisfaction.
Proficiency in Microsoft Office Suite skills.
Technical proficiency required in SQL Python Power Automate and Big Query.
Additional technical skills: GCP base solutions Power Bi.
Be strategic but with an mindset. Be able to lead the innovation ideas as well as deliver on the with evidence of developing new ideas or launching new initiatives.
Show an ownership mindset in everything you do.
Be a problem solver be curious and be inspired to take action.
Be proactive seek ways to collaborate and connect with people and teams in support of driving success.
Continuous growth mindset keep learning through social experiences and relationships with stakeholders experts colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
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