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  • Posted: Nov 18, 2021
    Deadline: Not specified
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  • Nielsen N.V. (NYSE: NLSN) is a global performance management company that provides a comprehensive understanding of what consumers Watch and Buy. Nielsen’s Watch segment provides media and advertising clients with Total Audience measurement services across all devices where content - video, audio and text - is consumed. The Buy segment offers consumer ...
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    Data Science Analyst / Senior Analyst

    Job Description
    About the job

    As the world's largest research organization, NielsenIQ is powered by talented creative scientists. Our Data Scientist associates come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics and demography. These professionals drive innovation, new product ideation, develops complex analysis and delivery of data insights to measure what consumers buy.

    Responsibilities

    • Own Data Science for a specific market/industry on new and already established products, services and design.
    •  Be a Data Science business partner for commercial, product, and technology leaders to achieve country specific goals including revenue and EBITDA and other objectives.
    •  Regularly meet directly with clients to understand strategic business needs, translate them into analytical strategies and offer innovative solutions driven through state-of-the-art methodologies in Data Science.
    •  Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies.
    •  Collaborate and align with other Data Science team units to deliver and prioritize objectives.
    •  Leverage Product Enhancement, Product and Technology teams to bring to the market services and solutions.
    •  Contribute to identifying third parties and evaluate their capabilities and data sets in order to develop new solutions.
    •  Design and conduct studies, tests and use advanced analytics techniques to build proof of concept and prototypes for use cases.
    •  

    About you
     Soft skills qualifications

    • Passionate about innovation and technology
    • Experienced connecting with stakeholders and clients proactively, finding ways to link
    • client's needs with the business.
    • Innovative mindset, creativity, thinking out-of-the-box.
    • Good ability to effectively convey complex concepts to non-experts.
    • Strong Problem-Solving skills
    • Intellectual curiosity and persistence to find answers to questions.
    • Great collaborative and interpersonal skills to communicate at all levels.
    • Ability to set priorities.
    • Good leadership skills.
    • Business acumen, consultative skills and empathy for clients.

    Great command of written and spoken English

    • Eager to continuously learn and adapt to changing technologies and tools.
    • Good ability to make decisions and successfully manage multiple assignments
    • concurrently in a high pressure environment.
    • Good people management skills and coaching.
       

    Experience

    • Professionals with degrees in Mathematics, Data Science, Statistics, or related fields involving statistical analysis of large data sets.
    • 3-5 years of experience in market research or relevant field
    • Solid understanding of CPG/FMCG Industry and Retail market impact on client’s business within the market

    Qualifications

    Soft skills qualifications:

    • Passionate about innovation and technology
    • Experienced connecting with stakeholders and clients proactively, finding ways to link client's needs with the business.
    • Innovative mindset, creativity, thinking out-of-the-box.
    • Good ability to effectively convey complex concepts to non-experts.
    • Strong Problem-Solving skills
    • Ability to set priorities.
    • Good leadership skills.
    • Great command of written and spoken English
    • Good ability to make decisions and successfully manage multiple assignments concurrently in a high-pressure environment.
    • Analytical and Technical skills:
    • Solid understanding of Statistics
    • Strong aptitude for data analysis.
    • Business acumen, finance and budgeting knowledge
    • Experienced in data visualization tools (e.g., Spotfire, Tableau, etc.) and mapping tools.
    • Experienced with programming languages such as Python and R.

    Optional Qualification

    • Working knowledge with collaboration tools such as Google Suite (Google site, Google Data Studio), Atlassian, Git, Bitbucket and Confluence.
    • Familiar with Machine Learning
    • Familiar with Cloud computing such as AWS, GCP, Microsoft Azure, etc.
    • Familiar with Project Management.

    Method of Application

    Interested and qualified? Go to Nielsen on jobs.smartrecruiters.com to apply

    Note: Never pay for any training, certificate, assessment, or testing to the recruiter.

  • Send your application

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