Data Solutions Support Specialist
hace 1 mes
We are seeking a highly skilled Technical Support, Data Solutions professional to join our team at NielsenIQ.
Company Overview:NielsenIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth.
We combine with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View.
NielsenIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world's population.
Salary:$80,000 - $110,000 per annum, depending on experience.
Job Responsibilities:- Provide enterprise-level technical external and internal support to our customers and prospects via a support ticketing system and within SLAs.
- Research, diagnose, troubleshoot, and identify solutions to resolve customer technical issues.
- Collaborate internally and support the technical onboarding of new customers, including users' set-ups, configurations, etc.
- Monitor and validate data automated processes.
- Document knowledge and help educate colleagues and teammates on technical cases.
- Keep current with product knowledge and latest features and functionality.
- Bachelor's degree in information systems, computer science, industrial engineering, or equivalent.
- Experience providing technical support or being part of an implementation team.
- Strong troubleshooting and problem-solving skills while being highly detail-oriented.
- Strong customer service orientation.
- Great written and verbal client communication skills.
- Good level of written and spoken English and Spanish – must have.
- Strong SQL background – must have.
- Willingness to work outside of business hours from time to time.
- Team spirit, self-motivation, and a positive attitude.
- The ability to work with multiple interfaces and tasks in a dynamic environment.
- Knowledge in Linux systems, utilities, and scripting.
- Experience with supporting an analytic product in a SAAS environment.
- Development skills.
- Knowledge of ETL processes.
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