NielsenIQ
Market Research
DataOperationsExpert
Neural analysis suggests this role is
optimal for mid candidates.
“Data Operations Expert at NielsenIQ. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and maintain data pipelines. Build and optimize data models”
Industry & Context.
Data analysis; Troubleshooting
What They're Looking For.
Must Have
3-5 years experience, Bachelor's degree
Nice to Have
Master's degree preferred, PhD preferred, GCP Professional Data Engineer certification preferred, AWS Data Analytics certification preferred, Databricks Certified certification preferred, Dbt Certified certification preferred
What You'll Do.
Develop and maintain data pipelines
Build and optimize data models
Implement machine learning models
Create and maintain BI dashboards
Perform data analysis
Ensure data quality and integrity
Collaborate with stakeholders
Stay updated on industry trends
How You'll Work.
Team & Collaboration
Cross-functional teams; Stakeholders
Full Job Description
About the Role We are looking for a detail-oriented and execution-focused Output Expert to join our Data Operations team. In this role, you will be responsible for executing data production cycles and delivering high-quality outputs to clients, ensuring accuracy, timeliness, and compliance with operational standards. You will play a critical role at the final stage of the data pipeline, transforming processed data into client-ready deliverables. Key Responsibilities * Execute end-to-end data production cycles and generate client deliverables * Ensure all outputs are delivered accurately and within agreed timelines (SLA-driven) * Perform validation checks to ensure accuracy, completeness, and consistency of outputs * Investigate and resolve data discrepancies or production issues * Follow standardized workflows for production, validation, and release * Collaborate with Data, Technology, and Operations teams to resolve issues * Support business-as-usual (BAU) requests and ad hoc client delivery needs * Identify opportunities to improve efficiency and support process automation ## Qualifications * Bachelor’s degree in Data, Statistics, Computer Science, Business, or a related field * 3–5 years of experience in data operations, reporting, or production environments * Strong attention to detail and data accuracy * Analytical thinking and problem-solving skills * Ability to manage multiple priorities and meet tight deadlines * Good communication and teamwork skills * Familiarity with data tools or databases is a plus ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficien
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