Taxonomy Associate II (R-18529) at Dun & Bradstreet, Inc - Canada

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

24 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Digital Marketing, Taxonomy Management, Product Management, Collaboration, Project Prioritization, SQL, Problem Solving, Analytical Thinking, Time Management, Organizational Skills, Communication, Remote Work, Data Ecosystem Knowledge, International Business Experience, Flexibility, Creativity

Industry

Information Services

Description

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. Job Summary: As Taxonomy Associate II, you will be primarily responsible for the maintenance, governance and implementation of our Digital Audiences taxonomies in partnership with various internal stakeholders (i.e. operational and commercial teams) across the globe. This role requires an experienced professional who can own and drive forward complex projects to deliver impactful results. \n Essential Key Responsibilities: Assist with taxonomy management initiatives and projects by collaborating with Commercial teams, Supply and Data Partnerships, Product, Marketing, Data Operations and Business Operations. Create new audiences and/or taxonomies where needed, based on opportunities and demand trends. Liaise with Data Partnerships, Acquisition and Product teams to ensure we have the data we need to build these. Define and upkeep to a high standard the rules and requirements of the data used to build audience segments. Determine how data from third parties is mapped into Eyeota branded segments, considering strategic value of data partners and using knowledge of their various data collection methods. This is updated and reviewed regularly. Inspect segment health and performance through routine auditing and monitoring of volumes and revenue. Incorporate industry best practices and tools to improve workflows and protocols that will streamline the various stages of the taxonomy’s lifecycle. Support commercial teams with RFI's and questions from clients about segment composition. Key Skills and/or Certifications: Minimum of 2 years of relevant experience in the digital marketing industry (Ad Tech company, Platform, Publisher, Data Company). Strong knowledge of the digital data ecosystem - the players and their respective market position. Taxonomy or Product Management or related experience strongly preferred. Experience working in an international/global business environment preferred. Ability to collaborate and work cross functionally with multiple teams. Ability to prioritize between a multitude of projects and ad-hoc requests on a daily basis. Proficiency with SQL is a plus. Self-motivated and can operate with high energy and flexibility in a fast-paced, evolving team environment. Problem solving and critical/analytical thinking. Effective time management and organizational skills. Excellent written, verbal, and oral communication. Comfortable working across multiple time zones and working from home / in a remote working environment. \n All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com. Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.

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Responsibilities

The Taxonomy Associate II is responsible for maintaining, governing, and implementing Digital Audiences taxonomies in collaboration with various internal stakeholders. This role involves managing taxonomy initiatives, creating new audiences, and ensuring data quality and performance.