Senior Data Operations Analyst at NielsenIQ

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

0.0

Posted On

15 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Coding, Data Matching, Quality Checks, Analytical Thinking, Problem Solving, Attention to Detail, Data Integrity, Stakeholder Communication, Root Cause Analysis, Documentation, Mentoring, Spanish Language, Market Insights, Process Improvements, Data Validation, Collaboration

Industry

Software Development

Description

Job Description Role Overview: As a Senior Data Operations Analyst, you will be responsible for executing Business As Usual (BAU) production tasks with expert-level proficiency. This includes advanced data coding, data matching, and comprehensive quality checks. You will play a key role in stakeholder communication, ensuring timely and accurate data delivery, and leading investigations into data issues. Your analytical capabilities will be critical in identifying outliers in pricing, sales, and market trends, while your end-to-end quality control expertise will ensure the integrity of both product features and pricing data. You are expected to proactively suggest improvements and corrections to enhance data quality and operational efficiency. Key Responsibilities: Perform expert-level BAU production tasks: Data Coding: Apply complex and nuanced coding logic across multiple product categories. Data Matching: Ensure high accuracy matching across diverse data sources. Quality Checks: Conduct end-to-end validation of product features and pricing. Apply analytical thinking to identify outliers and anomalies in pricing, sales, and market trends. Proactively suggest corrections and process improvements to enhance data quality and efficiency. Maintain high standards of data integrity and consistency throughout the production cycle. Communicate effectively with internal and external stakeholders to: Implement requested changes in data. Clarify and resolve data-related queries. Ensure timely and accurate delivery of data outputs in alignment with SLAs. Lead Root Cause Analysis (RCA) for any data errors or delivery issues, and drive resolution. Document processes, findings, and resolutions clearly and consistently. Support cross-functional initiatives and mentor junior team members when needed. Required Skills & Competencies: Beginner to Intermediate in Spanish language (Read/Write) - Mandatory Expert-level understanding of product categorization, coding logic, and market dynamics. Strong analytical skills to detect patterns, trends, and anomalies in large datasets. End-to-end quality control capabilities, including validation of product features and pricing. High attention to detail and accuracy in data handling. Proactive problem-solving and continuous improvement mindset. Proficiency in internet-based research for product and market insights. Ability to work independently and collaboratively in a fast-paced environment. Education: Bachelor’s/ master’s degree or equivalent professional experience in Business, Economics, Data Analytics, or a related field. 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 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. 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 Compensation: INR0 - INR0 - yearly

Responsibilities

The Senior Data Operations Analyst will execute BAU production tasks, including advanced data coding, matching, and quality checks. They will also communicate with stakeholders to ensure timely data delivery and lead investigations into data issues.