Principal Data Quality Analyst at NielsenIQ

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

0.0

Posted On

08 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Quality Assessment, Stakeholder Collaboration, Root Cause Analysis, Process Improvement, Project Management, Communication, Organizational Skills, Data Tools, Microsoft Excel, FMEA, Six Sigma, Lean Concepts

Industry

Software Development

Description

Job Description About the job As a Principal Data Quality Analyst, you'll be instrumental in shaping and executing the data quality strategy within our organization. You'll lead efforts to ensure data accuracy, completeness, and consistency across critical systems, with a direct impact on our ability to measure and improve key business metrics like client health and NPS. This role requires a blend of technical expertise, strong communication, and a proactive mindset to champion a culture of data quality. You'll work closely with intern al stakeholders across various departments, playing a pivotal role in maintaining data integrity for decision-making and optimal client experiences. Responsibilities • Data quality assessment and monitoring: This involves assessing and monitoring data quality, identifying issues, developing validation procedures, and tracking progress. • Stakeholder collaboration and communication: The role requires collaborating with various departments to understand data needs, communicating issues and solutions, leveraging actions across markets, and engaging with data providers. • KPIs, client health, and NPS: Responsibilities include tracking and maintaining data quality KPIs for client health, NOVA Cycle Time and NPS, analyzing data for trends, contributing to improvement initiatives, and reporting on improvement. • Root cause analysis and remediation: This involves leading root cause analysis, collaborating with technical teams for solutions, and overseeing remediation projects. • Process improvement and documentation: The analyst identifies areas for process improvement, creates and maintains data quality documentation, and participates in cross-functional teams. • Maintain strong collaboration with Enablement and Operations leaders to ensure that quality and delivery standards are consistently met or surpassed, while achieving high levels of customer satisfaction regarding product content. •Work with Data operations Quality to manage QEM inventories and RCAs via QEM Admin, including cycle time tracking. •Prepare monthly and quarterly Ops review materials for Global and Regional Leadership. • Continuous Learning & Process Improvement o Learn NIQ’s data production workflows, quality standards, and escalation protocols. o Identify opportunities to streamline operational tasks and improve turnaround times. o Identify areas within the client operations remit that can be improved or automated by AI Qualifications 6-7years' operations experience In-depth knowledge of operational processes, systems, and SOPs Excellent communication; can explain technical details clearly to various stakeholders Strong organizational skills; effective in cross-functional teams Project management: scope projects accurately, manage expectations, maintain commitments Process-oriented; skilled at defining and improving workflows for better quality and productivity. Exposure to quality tools such as FMEA, Six Sigma, and Lean Concepts. Proficiency in Microsoft Excel; familiarity with data tools such as Python, Tableau, PowerBI Additional Information 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 efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined 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™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion Career Site Team: Operations

Responsibilities

The Principal Data Quality Analyst will assess and monitor data quality, ensuring accuracy and consistency across systems. They will collaborate with stakeholders to identify data needs and lead root cause analysis for data quality issues.