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Marketing Science Analyst - Modelling

Job Description

About the job
The Marketing Science Analyst will be involved in projects from a modelling perspective.
His/Her responsibilities will start from understanding project briefs from internal stakeholders, identify the right analytic solutions from product portfolio that will answer client questions, execute them error-free and deliver results on time.
The work will be heavy on data analyses, statistical modelling, and finally presenting these from a business/non-technical point of view.
As the person grows in experience, the profile will require that he/she starts carrying out the above tasks independently, contributing to building relationships with internal stakeholders, and improving our analytical solutions through R&D (Research & Development) initiatives and value-added insights.
RESPONSIBILITIES

  • Execute analyses error-free and on time
  • Manage execution of multiple analyses within project and work towards building efficiencies by identifying faster and simpler ways to improve the existing solutions
  • Carry out multiple standard/non-standard analyses to help build quality and insightful proposals and final insights presentations
  • Gain a detailed understanding and develop expertise in existing analytical solutions
  • Help in R&D studies by carrying out analyses as planned

QUALIFICATIONS

  • Postgraduate in either of Statistics, Mathematics, Economics, or Operation Research fields; Additional certification in Data Science or Data Analytics will be an advantage
  • Excellent, clear and confident communication
  • 2-3 years of experience in a data analysis role
  • Candidate aware of the market research, FMCG / T&D industry is preferred
  • Thorough understanding and working knowledge of Statistical techniques like Regression, Cluster and Factor analyses, Significance testing
  • Hands on with data processing/programming tools R/Python/SQL/VBA is preferred
  • Proficiency in Microsoft Excel for data analysis, and reporting
  • Strong analytical and problem-solving skills with attention to detail

WE OFFER

  • Work in an international, multicultural environment
  • Private medical coverage
  • Hybrid working module 
  • Meal Tickets / monthly
  • Easter and Christmas vouchers/tickets
  • Mentoring - Mentee Program
  • Volunteer time off (global volonteer day)
  • Internal Recognition Program 
  • Free LinkedIn Learning access that helps you discover and develop business, technology-related, and creative skills through over 20,000 courses available in 7 languages)
  • Free Employee Assistance Programs (EAP) - NIQ offers support to all associates and their families for their emotional well-being trough professional, timely and confidential counselling services on issues related to everyday concerns & problems, overcome emotional challenges, and maintain a healthy and balanced lifestyle.

#LI-DAK

Additional Information

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

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Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

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What You Should Know About Marketing Science Analyst - Modelling, NielsenIQ

Join NIQ as a Marketing Science Analyst - Modelling and dive into a world where numbers tell compelling stories! Located at Soseaua Pipera 42, Sector 2 in Bucharest, Romania, this role is all about transforming complex data into actionable insights that will influence how we understand consumer behavior. Here at NIQ, you'll start your journey by connecting deeply with project briefs from internal stakeholders, allowing you to pinpoint the ideal analytical solutions that align perfectly with client needs. You won't just crunch numbers; you'll perform data analysis and statistical modelling with precision, all while framing your findings in a straightforward, business-friendly manner. As you become more seasoned, you will tackle projects with increasing autonomy, enhancing relationships with your colleagues and contributing to our R&D initiatives to refine our analytical offerings. If you're someone who thrives on data, excels in dynamic environments, and has a solid foundation in statistics and programming (think R, Python, or SQL), this could be your perfect fit. We celebrate diverse perspectives and foster a culture of continuous learning, making NIQ an exciting place to grow your career.

Frequently Asked Questions (FAQs) for Marketing Science Analyst - Modelling Role at NielsenIQ
What are the key responsibilities of a Marketing Science Analyst - Modelling at NIQ?

As a Marketing Science Analyst - Modelling at NIQ, you'll be responsible for understanding project briefs, executing rigorous data analyses, statistical modelling, and delivering insightful results on time. Your role involves managing multiple analyses, contributing to enhanced efficiency and delivering quality insights that will guide client decisions.

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What qualifications do I need to become a Marketing Science Analyst - Modelling at NIQ?

To qualify for the Marketing Science Analyst - Modelling position at NIQ, you should hold a postgraduate degree in Statistics, Mathematics, Economics, or Operations Research. Experience in data analysis roles (2-3 years) is required, along with proficiency in statistical techniques and tools such as R, Python, SQL, or VBA.

Join Rise to see the full answer
What programming tools are essential for a Marketing Science Analyst - Modelling at NIQ?

In the role of Marketing Science Analyst - Modelling at NIQ, familiarity with data processing and programming tools like R, Python, and SQL is essential. Proficiency in Microsoft Excel is also important for data analysis and reporting. These skills will help you execute error-free analyses and deliver impactful insights to clients.

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What type of work environment can I expect as a Marketing Science Analyst - Modelling at NIQ?

At NIQ, you can expect a flexible and hybrid work environment within a multicultural team. We value diversity and provide an engaging atmosphere where your growth is supported through mentoring programs, volunteer opportunities, and access to resources like LinkedIn Learning.

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How does NIQ support employee well-being for Marketing Science Analysts - Modelling?

NIQ is committed to supporting the well-being of its employees, offering private medical coverage, an Employee Assistance Program (EAP), and additional perks like monthly meal tickets and holiday vouchers. We aim to create a balanced work-life experience for all employees, ensuring you feel valued and supported.

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Common Interview Questions for Marketing Science Analyst - Modelling
Can you describe your experience with statistical modelling relevant to the Marketing Science Analyst - Modelling role?

In answering this, you should highlight specific statistical techniques you've employed, any relevant projects, and how your modelling directly impacted business decisions. Be prepared with examples that showcase your analytical skills and your capacity to present complex data clearly.

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How do you approach understanding a project brief for data analysis?

Discuss your strategy for communication and collaboration with stakeholders, emphasizing active listening skills. Explain your process for dissecting the brief to identify key objectives and aligning your analytic solutions accordingly.

Join Rise to see the full answer
What programming languages do you have experience with, and how have you used them in data analysis?

Provide a brief overview of your proficiency in R, Python, SQL, and any other programming tools. Mention how you've utilized these tools in past projects to streamline data processing and enhance analysis outcomes.

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Can you give an example of a time you delivered insights on time and accurately?

Share a specific example of a project where your analytical skills made a difference. Detail the steps you took to ensure accuracy and timeliness and the impact those insights had on stakeholders.

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How do you prioritize multiple analyses within a project?

Discuss your project management approach, including techniques for prioritizing tasks based on deadlines and stakeholder urgency. You may mention tools or methods you use to track progress and ensure timely delivery.

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What do you know about NIQ and its services?

Demonstrate your knowledge about NIQ by summarizing its mission and integral services. Highlight your understanding of consumer intelligence and the importance of advanced analytics in business strategies.

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How do you ensure error-free analysis in your work?

Explain the checks and balances you put in place for validation, such as peer reviews or automated testing. Sharing specific techniques you've found effective in past experiences will emphasize your commitment to quality.

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What do you consider the most challenging aspect of data analysis?

Speak about challenges you've faced, such as data quality issues or tight deadlines, and your strategies for overcoming these obstacles. This showcases your problem-solving skills and resilience.

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How do you keep your skills updated in this fast-evolving field?

Mention various resources such as online courses (like LinkedIn Learning), webinars, forums, or conferences that you engage with regularly to stay ahead in statistical methods and data analysis technologies.

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What do you think is the importance of collaboration in the role of a Marketing Science Analyst - Modelling?

Discuss the value of teamwork in fostering innovation and the significance of sharing knowledge and insights among peers. Relating this to your experiences can provide a clear picture of your collaborative skills.

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