Senior Data Analyst

About the role

As the world's largest research organization, Nielsen IQ is powered by talented creative scientists. Our Data Scientist Business Leaders 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 solutions for client requests and provide initial recommendations for complex client raised issues.
• Support Internal and External Clients with the understanding of Data Science design and methodology.
• Accompanied senior leaders meet with clients to understand business needs and help offer innovative solutions.
• Work on creating new solutions use cases, proof of concept and prototypes by exploring diverse data sets using tools such as python/r.
• Understand Nielsen products and services to suggest new solutions for client challenges.
• Collaborate with other Data Science team units.
• Automate and develop solutions for existing processes.
• Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies.
• About you

Requirements

• Professionals with degrees in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets.
• 1-3 years of experience in market research or relevant fields.
• Passionate about innovation and technology
• Problem-Solving skills
• Ability to effectively convey complex concepts to non-experts
• Intellectual curiosity and persistence to find answers to questions
• Eager to continuously learn and adapt to changing technologies and tools.
• Good command of written and spoken English.
• Good collaborative and interpersonal skills to communicate at all levels.
• Working knowledge with data visualization tools (e.g. Spotfire, Tableau, etc) and mapping tools.
• Working knowledge with collaboration tools such as Google Suite(Googlesite, Google Data Studio), Atlassian, Git, Bitbucket and Confluence.
• Familiar with Machine Learning
• Familiarity with marketing analytics, including designing experiments and consumer behavior analysis.
• Exciting work environment that brings people together.
• Use the latest digital technologies.
• Ongoing trainings to support your development.
• Opportunities for personal and professional growth.
• Hybrid work

Benefits

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Company Intel

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