Supervisor, Data Operations

Taipei - Taiwan /
Data & Analytics /
Employee: Full Time
/ On-site
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!

Describe the major activities of the job, emphasizing the end results which must be achieved.

Process optimization
·          Automate manual collection of commercial data from various sources and govern data quality with standardization
·          Streamline data / information collection process to enhance team efficiency and product quality (e.g. expand productivity, report quality, etc.)
·          Modernize channels of delivering to customers systems and methods of receiving data from third parties in a seamless and timely manner
Product fulfilment and advancements
·          Facilitate customers’ POC / use cases converging reporting and data collection workstreams
·          Present conceptual research in workflows and implement for project analysis / deliveries
·          Explore meaningful commercial data sources to grow our content with quality
Create data insights / Implement new product workflows
·          Increase value of our content by packaging products along with new data and/or new applications designed for professional decision makers to grow our businesses (particularly for ESG related deliverables in Y2023-Y2024)
·          Partner with global data operations / analytics teams answering for customers needs
·          Develop insightful solutions with technology teams adjacent to macro trends globally
Bachelor's degree in business or technology subjects; advanced degree preferred
·       Over 5 years of relevant work experience with proven record in solutions with in-depth understanding of data-as-a-service and financial reporting / analytics
·       Strong cross-functional communication, change management and complex problem solving capabilities
·       Expert in design thinking and prioritization skills to ensure highest value captured
·       Ability to work under pressure without compromising on deliverables
·       Conduct structural planning, proactive and resourceful in data acquisitions
·       Identify gaps and opportunities in the product offerings / services and support development for enhancements and expansions collaborating with customer success
·       Previous experience preferable with process reengineering and operational process design / digital transformation or business coach / consultancy
·       Fluent in English both written and oral

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