🌟 NielsenIQ, a global leader in data analytics and consumer insights, is hiring freshers for the Data Processing Analyst role at their Chennai location! If you're passionate about data processing, market research, and business analytics, this is your chance to work with a global organization that shapes industries with trusted insights. This opportunity is ideal for 2022, 2023, and 2024 graduates with degrees in Commerce, Science, Computer Science, Business Information Systems, or IT. Kickstart your career with NielsenIQ and be a part of a data-driven transformation journey!
| NielsenIQ | |
| Job Role | Data Processing Analyst |
| Qualification | Bachelor’s degree |
| Batch | 2022/2023/2024 |
| Experience | Freshers |
| Salary | ₹ 3.63 LPA (Expected) |
| Location | Chennai |
| Last Date | ASAP |
| Apply Link Below | |
|---|---|
✅ Eligibility Criteria
✔️ Bachelor's degree in Commerce, Science, Computer Science, BIS, or IT
✔️ Strong organizational skills and attention to detail
✔️ Analytical mindset with the ability to process operational data
✔️ Excellent English communication skills (spoken and written)
✔️ Flexible to work in different shift timings
✔️ Freshers from Arts and Science backgrounds (passed out in 2022, 2023, or 2024)
📝 Job Description
🔹 Understand and manage the end-to-end market research data process
🔹 Collate, cleanse, analyze, and visualize large volumes of consumer data
🔹 Deliver high-quality datasets within tight deadlines
🔹 Identify avenues for process improvements and ensure quality deliverables
🔹 Communicate effectively across teams and clients
🔹 Learn upstream and downstream processes to enhance operational efficiency
🔹 Participate in new data initiatives and innovations within the company
💖 Why Join NielsenIQ?
✨ Opportunity to work with a globally renowned analytics company
🚀 Access to flexible working environments and career growth paths
📚 Exposure to cutting-edge data platforms and technologies
💬 Continuous learning through LinkedIn Learning and EAP programs
🏆 Work in a diverse and inclusive culture with innovation at its core
🏢 About NielsenIQ (SEO Optimized)
NielsenIQ is a world-class provider of consumer insights, data analytics solutions, and market intelligence services. With an unmatched global presence, NielsenIQ empowers companies to innovate, grow, and better understand their markets. By joining NielsenIQ, freshers get a dynamic platform to build careers in data processing, analytics, and research, while working with a network of professionals shaping global industries.
🎯 Additional Benefits
🌟 Flexible working environment
🤝 Volunteer Time Off programs
🎓 Access to LinkedIn Learning courses
🧠 Employee Assistance Program (EAP)
💼 Competitive Fixed CTC of ₹3.4 LPA
📝 How to Apply?
📌 All interested and eligible candidates can apply online for NielsenIQ Careers 2025 through the official link below:
| Jobs by Qualification | |
| B.Tech | BBA |
| B.Sc | B.Com |
| M.Sc | M.Com |
| MCA | MBA |
| BCA | M.Tech |
🗣️ Top 5 Interview Questions & Sample Answers
💬 Q1: What steps would you take to clean a large dataset with missing values?
👉 I would first identify missing values, analyze patterns, and either replace them using statistical methods or remove incomplete entries based on the dataset's importance.
💬 Q2: How do you ensure accuracy while processing large volumes of data?
👉 I double-check source data, validate outputs, use automated tools for consistency, and always perform random sampling checks.
💬 Q3: How would you explain complex data findings to a non-technical team member?
👉 I would simplify the data using visuals like graphs and charts and use relatable examples to convey the core message clearly.
💬 Q4: What tools or software are you familiar with for data analysis?
👉 I have hands-on experience with Excel, SQL, Python (basic data libraries), and visualization tools like Power BI or Tableau.
💬 Q5: Can you describe a situation where you found and corrected an error during data processing?
👉 During an academic project, I discovered data anomalies caused by inconsistent survey inputs and corrected them through manual validation and scripting, ensuring the final analysis was accurate.
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