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Apprentice - Data Science

nielseniQTower B, Temenos Business Park, Vadodara, India• India4h ago
onsitefull-timeentry
41 views25 applicants
💼 Competitive Salary

Job Description

NielsenIQ logo Apprentice - Data Science Tower B, Temenos Business Park, Vadodara, India Full-time Career Site Team: Data Science & Business Intelligence Compensation: INR 0 - INR 0 - yearly Company Description 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. Job Description The Product Design and Enhancement (PDE) team is responsible for all design-related activities of the Data Science unit at NIQ, setting up the base for Retail Index reporting. The key responsibilities of PDE associate assigned to given market include:  Sample Design, Universe Estimation and other design-related projects for the Retail Index  Identification of quality risks and follow up on solutions  Engagement with stakeholders on scope, execution, data exchange and outcomes for assigned projects  Expert-level analysis of results and presentations with insights  Teamwork in virtual multi-country environment requiring effective communication with colleagues located in various countries  Usage of dedicated software supported by ad hoc programming and data mining  Identification of opportunities for innovations and tools development in the dynamic work environment  Analysis of processes within the area of responsibilities with recommendations on improvements  Qualifications Master’s degree in mathematics, Statistics, Operations Research or related fields  Knowledge of Microsoft Office applications  Competency in at least one programming language (Python or R)  Organizational skills to manage projects (time management, prioritization, deadlines)  Ability to engage and communicate effectively   Strong analytical and problem-solving skills  Good command of English, Knowledge of local Chinese (Mandarin) Eagerness to continuously learn and adapt to changing technologies and tools  0 to 1 years of work experience  Master's Degree is Mandatory ( M.Sc Stats/ Big Data Analyst can apply)    Preferable:  Work experience in FMCG, Market research, consumer research or similar industries  Knowledge of statistical inference and survey-based research  Additional Information It's a contract-based role for 6 months Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP)

Requirements

  • Master’s degree in mathematics, Statistics, Operations Research or related fields
  • Knowledge of Microsoft Office applications
  • Competency in at least one programming language (Python or R)
  • Organizational skills to manage projects (time management, prioritization, deadlines)
  • Ability to engage and communicate effectively
  • Strong analytical and problem-solving skills
  • Good command of English, Knowledge of local Chinese (Mandarin)
  • Eagerness to continuously learn and adapt to changing technologies and tools
  • 0 to 1 years of work experience
  • Master's Degree is Mandatory ( M.Sc Stats/ Big Data Analyst can apply)

Key Responsibilities

  • of PDE associate assigned to given market include:
  • Sample Design, Universe Estimation and other design-related projects for the Retail Index
  • Identification of quality risks and follow up on solutions
  • Engagement with stakeholders on scope, execution, data exchange and outcomes for assigned projects
  • Expert-level analysis of results and presentations with insights
  • Teamwork in virtual multi-country environment requiring effective communication with colleagues located in various countries
  • Usage of dedicated software supported by ad hoc programming and data mining
  • Identification of opportunities for innovations and tools development in the dynamic work environment
  • Analysis of processes within the area of with recommendations on improvements
  • Qualifications

About nielseniQ

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