📋 Job Details at a Glance 📍 Location Mumbai, Maharashtra, India 🏢 Company NielsenIQ 👥 Experience 0-2 years 🎓 Qualification Postgraduate (Marketing, Business, Economics, Statistics, or Related) 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹5–8 LPA* 🏢 Industry Marketing 🛠 Key Skills Problem Solving Communication Skills Basic Computer Knowledge SQL Python Research Analyst at NielsenIQ — Full Details & How to Apply NielsenIQ is seeking a Research Analyst in Mumbai, Maharashtra, India , offering freshers a chance to work with cutting-edge data analytics tools. This role is pivotal in shaping marketing strategies for global brands, providing a unique opportunity to influence major market decisions. The demand for data-driven marketing insights is surging, making this Research Analyst role crucial for NielsenIQ 's growth in the analytics sector. As businesses increasingly rely on data to guide their marketing strategies, your contributions will directly impact how brands position themselves in competitive markets. NielsenIQ , founded in 1923 , employs over 46,000 people globally and specializes in market research and consumer insights. This extensive experience and scale make NielsenIQ a leader in the industry, providing a robust platform for new analysts to develop their skills and advance their careers. This role is ideal for 2022, 2023, 2024, 2025 graduates with a Postgraduate (Marketing, Business, Economics, Statistics, or Related) degree and 0-2 years experience . With a competitive salary of ₹5–8 LPA* , this position is designed for fresh talent eager to enter the analytics field. As a Research Analyst , you will gain hands-on experience with essential skills such as Problem Solving , Communication Skills , Basic Computer Knowledge , SQL , and Python . This role not only equips you with highly sought-after technical skills but also opens doors to advanced positions in marketing analytics, setting the stage for rapid career progression. 📊 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 core mission of the Research Analyst at NielsenIQ is to transform complex market data into actionable insights that drive effective marketing strategies and enhance client satisfaction. Analyze market data using SQL to generate actionable insights that inform marketing strategies and improve client outcomes. Utilize Python for data manipulation and analysis, ensuring accurate reporting and streamlined processes for data handling. Collaborate with marketing and sales teams to align research findings with business objectives, enhancing overall project effectiveness. Monitor key performance metrics to assess the effectiveness of marketing campaigns, utilizing data-driven insights for continuous improvement. Take initiative in developing new research methodologies to improve data collection processes, enhancing the quality of insights generated. Document research findings and present them to stakeholders in a clear and concise manner, ensuring effective communication of insights. Engage with clients to understand their needs and provide tailored research solutions, fostering strong client relationships. Ownership of research initiatives allows the Research Analyst to directly impact marketing strategies and client satisfaction, driving success for NielsenIQ . Required Skills & Technical Competencies The ideal candidate for the Research Analyst position should possess a robust skill profile that combines technical expertise with essential soft skills for effective data analysis. Technical Skills Problem Solving — critical for analyzing complex data sets and deriving meaningful insights from market trends. Communication Skills — essential for presenting findings to non-technical stakeholders effectively and ensuring clarity in reporting. Basic Computer Knowledge — necessary for navigating various data analysis tools and software used in daily operations. SQL — used daily for querying databases and extracting relevant data for analysis, enabling informed decision-making. Python — applied in data analysis tasks, enabling automation and efficiency in reporting processes. Soft Skills & Professional Competencies Critical thinking — essential for evaluating data trends and making informed recommendations based on analysis. Attention to detail — important for ensuring accuracy in data reporting and analysis, minimizing errors. Adaptability — necessary for adjusting to new research methodologies and tools as market demands evolve. Collaboration — vital for working effectively with cross-functional teams to align research with business objectives. Good to Have (Bonus Skills) Data Visualization — enhances your ability to present data insights in an easily digestible format for stakeholders. Statistical Analysis — deepens your understanding of data trends and patterns, adding value to your analyses. Project Management — helps in managing timelines and deliverables effectively within research projects. When showcasing these skills in your resume or interview, emphasize specific examples of how you've applied them in relevant projects or internships. Eligibility Criteria This role is designed for recent graduates with a strong analytical foundation, eager to contribute to market research and data analysis. Postgraduate degree in Marketing , Business , Economics , Statistics , or related fields is required. Eligible batches include 2022 , 2023 , 2024 , and 2025 , allowing recent graduates to apply. No prior experience is mandatory; however, internships in related fields will be advantageous. A minimum academic performance of 60% is preferred to ensure a strong grasp of analytical concepts. Having a portfolio showcasing relevant projects or internships can significantly enhance your application. Documentation & Portfolio Requirements Submit your resume in a clear format, including your educational background, relevant skills, and any project experience. Highlight your analytical capabilities and tools used. Pro tip: Tailor your application to highlight specific experiences with SQL and Python to demonstrate your readiness for the Research Analyst role at NielsenIQ . Salary for Research Analyst at NielsenIQ 💰 Compensation ₹5–8 LPA* The advertised compensation for the Research Analyst role at NielsenIQ is ₹5–8 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 selection process to identify candidates who align with their analytical and problem-solving needs for the Research Analyst role. 1 Online Aptitude Test — 60 minutes, assessing analytical and quantitative skills. 2 Technical Interview — focuses on SQL , Python , and data analysis concepts. 3 Behavioral Interview — evaluates cultural fit and problem-solving abilities through situational questions. 4 HR Interview — discusses salary expectations, company culture, and role alignment, with offers typically made within a week. Topic-wise Preparation Guide Round 1: Online Aptitude Test Quantitative Aptitude — essential for the initial screening of analytical skills. — Khan Academy Logical Reasoning — critical for problem-solving tasks in the role. — GeeksForGeeks Data Interpretation — relevant for understanding market data. — Khan Academy Basic Statistics — foundational knowledge for data analysis. — Khan Academy Round 2: Technical Interview SQL Queries — focus on data extraction and manipulation techniques. — W3Schools Python Basics — understanding libraries like Pandas for data analysis. — freeCodeCamp Data Visualization Tools — knowledge of tools like Tableau or Power BI. — Udemy Market Research Techniques — familiarity with methodologies used in the industry. — Coursera Statistical Analysis — depth in concepts like regression and hypothesis testing. — Khan Academy Round 3: Behavioral Interview Behavioral Questions — use the STAR method to articulate past experiences. — MindTools Team Collaboration — discuss experiences working in teams and resolving conflicts. — MindTools Technical Deep-Dive — be prepared to explain your approach to a data analysis project. — YouTube Timeline & Expectations The entire selection process typically spans 2-3 weeks from application submission to offer, with timely communication at each stage. Prepare thoroughly for each round, as NielsenIQ values both technical proficiency and cultural fit. Expected Interview Questions for Research 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 extract specific data from a database. How do you handle missing data in a dataset? Describe a project where you used Python for data analysis. What libraries in Python are you familiar with for data manipulation? How would you visualize data to present findings effectively? What statistical methods do you find most useful in market research? Behavioral Questions Describe a time when you faced a challenge in a project and how you overcame it. 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 analytics? Role-Specific Questions What do you think is the most important skill for a Research Analyst? How would you approach a new market research project? What trends do you see impacting the marketing analytics industry? Structure your answers using the STAR method to clearly demonstrate your thought process and problem-solving skills. Resume Tailoring & ATS Keywords for Research Analyst Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Research Analyst Data Analysis SQL Python Market Research Problem Solving Communication Skills Statistical Analysis Data Visualization Analytical Skills Postgraduate NielsenIQ Resume Tips for This Role Highlight your academic projects related to data analysis or market research. Emphasize any internships or relevant experience in analytics. Include specific tools and technologies you are proficient in, such as SQL and Python . Optimize for ATS by using keywords from the job description. Avoid including unrelated work experience that does not showcase relevant skills. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include irrelevant work experience that does not highlight your analytical skills. About NielsenIQ NielsenIQ , founded in 1923 , operates in over 100 countries with its headquarters in New York City . The company employs over 46,000 professionals , delivering insights into consumer behavior and market trends across diverse industries. Its expansive global footprint allows it to serve a wide range of clients effectively. Specializing in data analytics , NielsenIQ offers services such as NielsenIQ Brand Health and NielsenIQ Retail Measurement . These platforms empower brands to make informed decisions based on comprehensive consumer insights and market research, ensuring they stay competitive in their respective markets. The workplace culture at NielsenIQ is recognized for its innovation and employee satisfaction, reflected in its Glassdoor rating of 4.2 . The company invests in employee development through various programs, including mentorship and training initiatives, fostering a supportive environment for career growth. Recently, NielsenIQ announced a strategic partnership with leading tech firms to enhance its data analytics capabilities . This initiative underscores the company's commitment to innovation and staying at the forefront of market research technology, ensuring it meets evolving client needs. For freshers in Marketing, NielsenIQ serves as an exceptional career launchpad. The company offers hands-on experience in data analytics and market research , allowing new hires to learn from industry leaders and gain valuable skills that are highly sought after in the marketing field. Why Join NielsenIQ as Research Analyst? Joining NielsenIQ as a Research Analyst provides a unique opportunity to develop essential skills in data analytics while working on impactful projects that shape market strategies. SQL and Python Proficiency — Gain hands-on experience with SQL and Python , essential tools for effective data analysis in marketing. Real-World Marketing Projects — Work on actual marketing initiatives, applying theoretical knowledge to practical scenarios that drive business decisions. Career Advancement Opportunities — After 1-2 years, potential career paths include roles such as Senior Analyst or Project Manager within NielsenIQ . Collaborative Learning Environment — Engage in knowledge sharing among teams, enhancing your learning experience and professional growth. Mumbai's Vibrant Lifestyle — Experience the rich cultural environment of Mumbai while building your career at NielsenIQ with its onsite work model. According to NexisGrow.com, a role as a Research Analyst at NielsenIQ offers unparalleled exposure to the marketing analytics landscape, setting the stage for a successful career in data-driven decision-making. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Research Analyst at NielsenIQ? Eligibility Tap to expand + Answer Candidates with Postgraduate (Marketing, Business, Economics, Statistics, or Related) and 0-2 years experience are eligible. Eligible batches: 2022, 2023, 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: ₹5–8 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 Research 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 Mumbai 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