📋 Job Details at a Glance 📍 Location Chennai, Tamil Nadu, India 🏢 Company NielsenIQ 👥 Experience Fresher 🎓 Qualification B.Com / B.Sc / BCA / Computer Science / Business Information Systems / IT 📅 Eligible Batch 2024, 2025 📄 Job Type Full Time 💰 Salary ₹3.46 LPA 🏢 Industry Operations 🛠 Key Skills Problem Solving Communication Skills Basic Computer Knowledge SQL Python Data Operations Analyst at NielsenIQ — Full Details & How to Apply NielsenIQ is seeking freshers for the Data Operations Analyst position in Chennai, Tamil Nadu, India , where you can kickstart your career with a competitive salary of ₹3.46 LPA . This role is an excellent entry point into the booming field of data analytics, providing essential skills that are highly sought after in the job market. The demand for data-driven decision-making is surging, making the Data Operations Analyst role crucial for companies like NielsenIQ , which specializes in market analytics. As businesses increasingly rely on data to guide their strategies, the need for skilled analysts to ensure data quality and operational efficiency has never been more critical. NielsenIQ , founded in 1923 , boasts a workforce of over 40,000 employees globally, providing insights that drive business growth across various sectors. This extensive experience and scale make NielsenIQ a leader in the market analytics industry, offering a collaborative culture that fosters innovation and professional growth. This opportunity is ideal for 2024, 2025 graduates with qualifications in B.Com, B.Sc, BCA, Computer Science, Business Information Systems, or IT . As a fresher, you will find this role a stepping stone to advanced positions in data analytics and operations management, with a starting salary of ₹3.46 LPA . In this role, you will gain exposure to essential skills such as SQL and Python , enhancing your employability in the tech and analytics sectors. The experience you acquire as a Data Operations Analyst will open doors to various career paths, including data analytics, operations management, and beyond. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated non-tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The Data Operations Analyst at NielsenIQ plays a crucial role in ensuring data accuracy and reliability, directly impacting client reporting and operational efficiency through data-driven insights. Analyze and validate data sets using SQL to ensure accuracy and reliability for client reports, enhancing data integrity. Utilize Python for automating data processing tasks, significantly improving efficiency in data operations. Collaborate with IT and analytics teams to streamline data workflows, leveraging problem-solving skills to enhance operational processes. Monitor data quality metrics and report findings to senior analysts, contributing to continuous improvement initiatives through effective communication. Take ownership of specific data projects, ensuring timely delivery and adherence to quality standards, demonstrating accountability. Document processes and create reports to communicate findings effectively to stakeholders, utilizing communication skills . Engage in problem-solving activities to address data discrepancies and client inquiries, showcasing critical thinking. This role fosters an ownership culture, allowing analysts to make a direct impact on data quality and operational success at NielsenIQ . Required Skills & Technical Competencies The ideal candidate for the Data Operations Analyst position possesses a blend of technical and soft skills essential for effective data management and analysis. Technical Skills Problem Solving — entry — critical for identifying data issues and developing effective solutions in data operations. Communication Skills — entry — essential for articulating data findings to non-technical stakeholders, enhancing collaboration. Basic Computer Knowledge — entry — necessary for navigating various software tools and applications used in data operations. SQL — entry — used daily for querying databases and extracting relevant data for analysis. Python — entry — applied in automating repetitive tasks and enhancing data processing capabilities. Soft Skills & Professional Competencies Demonstrate problem-solving abilities to effectively address data discrepancies and client inquiries. Exhibit strong communication skills to convey complex data findings to diverse stakeholders. Show adaptability in learning new tools and technologies relevant to data operations. Display attention to detail in monitoring data quality metrics and ensuring accuracy. Good to Have (Bonus Skills) Familiarity with data visualization tools like Tableau , enhancing reporting capabilities. Knowledge of statistical analysis, providing deeper insights into data trends. Experience with cloud platforms like AWS , facilitating data storage and processing. When showcasing these skills in your resume or interview, emphasize specific examples of how you have applied them in academic or project settings. Eligibility Criteria This role is designed for fresh graduates eager to start their careers in data operations, equipped with relevant academic qualifications. Candidates must hold a B.Com , B.Sc , BCA , or degree in IT , providing foundational knowledge for data operations. Eligible batches are 2024 and 2025 , ensuring fresh perspectives and recent academic training. No prior work experience is required, making this role ideal for fresh graduates. A minimum academic performance of 60% is preferred to ensure a strong foundational understanding. Internship experience in data-related roles or projects can provide a competitive edge. Documentation & Portfolio Requirements Submit a resume in PDF format, including your academic achievements, relevant projects, and any internship experiences related to data operations. Pro tip: Highlight any specific projects where you utilized SQL or Python to solve real-world data problems in your application. Salary for Data Operations Analyst at NielsenIQ 💰 Compensation ₹3.46 LPA The advertised compensation for the Data Operations Analyst role at NielsenIQ is ₹3.46 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at NielsenIQ NielsenIQ follows a structured hiring process to identify candidates who align with the company's operational needs and culture. 1 Online Aptitude Test — 60 minutes, assessing quantitative and logical reasoning skills. 2 Technical Interview — focusing on SQL, Python, and data analysis concepts. 3 Behavioral Interview — evaluating cultural fit and problem-solving approaches. 4 HR Interview — discussing salary expectations and offer timeline. Topic-wise Preparation Guide Round 1: Online Aptitude Test Quantitative Aptitude — essential for data analysis tasks. — Khan Academy Logical Reasoning — critical for problem-solving in data operations. — GeeksForGeeks Basic Computer Knowledge — understanding software tools used in the role. — W3Schools Data Interpretation — analyzing data sets effectively. — Khan Academy Round 2: Technical Interview SQL Queries — depth in writing and optimizing queries. — W3Schools Python Basics — understanding syntax and basic functions. — freeCodeCamp Data Structures — knowledge of lists, dictionaries, and their applications. — GeeksForGeeks Data Cleaning Techniques — importance in ensuring data quality. — Coursera Statistical Concepts — foundational knowledge for data analysis. — Khan Academy Round 3: Behavioral Interview STAR Method — preparing for behavioral questions with specific scenarios. — MindTools Team Collaboration — discussing experiences working in teams. — YouTube Technical Deep-Dive — explaining a project or task related to data operations. — GeeksForGeeks Timeline & Expectations The typical timeline from application to offer can range from 2 to 4 weeks , depending on the number of applicants and scheduling. Prepare thoroughly for each round, as NielsenIQ values both technical skills and cultural fit. Expected Interview Questions for Data Operations Analyst at NielsenIQ These questions are based on the role's actual tech stack and responsibilities. Technical Questions Explain how you would write a SQL query to retrieve specific data from a database. What are the key differences between Python lists and dictionaries? How would you handle missing data in a dataset? Describe a project where you used data analysis to solve a problem. What libraries in Python are commonly used for data analysis? How do you ensure data quality in your analysis? Behavioral Questions Describe a time when you had to solve a challenging problem. How do you prioritize tasks when working on multiple projects? Give an example of how you worked effectively in a team. What motivates you to work in data operations? Role-Specific Questions What do you understand by data operations and its importance? How would you approach a data discrepancy reported by a client? What tools have you used for data analysis in your academic projects? Structure your answers using the STAR method to clearly convey your experiences and thought processes. Resume Tailoring & ATS Keywords for Data Operations Analyst Optimizing your resume for ATS is crucial for this role to ensure it gets noticed by recruiters. ATS Keywords to Include Data Operations Analyst SQL Python Data Analysis Problem Solving Communication Skills B.Com B.Sc BCA IT Freshers Chennai Resume Tips for This Role Highlight your technical skills in SQL and Python prominently. Include any relevant academic projects or internships related to data. Focus on problem-solving experiences that demonstrate analytical thinking. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience or skills that do not apply to this role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include generic skills or experiences that do not relate to the Data Operations Analyst role. About NielsenIQ NielsenIQ was established in 1923 and is headquartered in Chicago, USA . With a presence in over 100 countries , including India , the company employs thousands of professionals dedicated to providing data-driven insights. Its global footprint allows it to serve a diverse range of clients across various industries. The core offerings of NielsenIQ include advanced data analytics services, particularly in retail measurement and consumer insights . The company utilizes platforms like Nielsen Connect to help brands optimize their strategies based on real-time data, ensuring they remain competitive in their respective markets. NielsenIQ has received numerous accolades for its workplace culture, including a Glassdoor rating of 4.1 . The company emphasizes employee satisfaction through various programs, such as professional development initiatives and wellness resources, fostering a supportive environment for its workforce. Recently, NielsenIQ has expanded its technological capabilities through strategic partnerships, particularly in the realm of AI-driven analytics tools . This commitment to innovation positions the company at the forefront of the data analytics industry, enhancing its service offerings and operational efficiency. For freshers in Operations, NielsenIQ serves as a robust career launchpad. The company provides hands-on experience in data operations, allowing newcomers to learn from industry leaders and gain valuable skills that are essential for future career advancement. Why Join NielsenIQ as Data Operations Analyst? Joining NielsenIQ as a Data Operations Analyst offers a unique chance to develop critical skills in data analytics while working with industry experts. The role is designed to enhance your technical proficiency and provide a solid foundation for your career. SQL and Python Proficiency — Gain hands-on experience with essential tools for data manipulation and analysis, crucial for your career in analytics. Mentorship Opportunities — Benefit from guidance by experienced analysts, accelerating your learning curve and professional growth. Career Advancement — After 1-2 years, transition into roles such as Data Analyst or Operations Manager , significantly enhancing your career trajectory. Collaborative Work Culture — Engage in a supportive environment that encourages teamwork and innovation among employees, fostering a sense of belonging. Flexible Work Environment — Located in Chennai , the office promotes a balanced lifestyle, allowing you to pursue your career while maintaining personal well-being. According to NexisGrow.com, the role of Data Operations Analyst at NielsenIQ is an excellent starting point for those looking to build a successful career in data analytics. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Operations Analyst at NielsenIQ? Eligibility Tap to expand + Answer Candidates with B.Com / B.Sc / BCA / Computer Science / Business Information Systems / IT and Fresher experience are eligible. Eligible batches: 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Problem Solving, Communication Skills, Basic Computer Knowledge, SQL, Python. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹3.46 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at NielsenIQ? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Problem Solving, Communication Skills, Basic Computer Knowledge, SQL, Python. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Data Operations Analyst interview? Preparation Tap to expand + Answer (1) Core concepts of Problem Solving, Communication Skills, Basic Computer Knowledge, SQL, Python, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) NielsenIQ research, (5) Clear communication. ? What is the work culture like at NielsenIQ? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Chennai Browse all Non-Tech jobs More jobs at NielsenIQ Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com