Data Processing Specialist - Quantum

Job Description

Purpose of the role:

Working with data collected from market research surveys to provide a variety of output reports, using software products such as Quantum, SPSS, DimensionsProcessing, formatting and presenting the data in accordance with global NIQ quality standardsPrioritize, structure and deliver data processing (data table production, file creation, quality checking and workflow communication) of high complexity projects individuallyExecute day-to-day operations and tasksPrioritize and distribute projects / tasks within the teamPropose optimizations and efficient solutionsTake decisions related to project delivery in case of any ambiguous situationContribute to different internal / external initiatives related to operations process, training framework, reporting KPIs etcKey Responsibilities:

Review and process all materials provided by the clientProactively discuss with the client all details related to input materials and their needsPropose and discuss potential solutions based on client needsImplement newly proposed solutions for the projectDevelop reports, spreadsheets, tables and dashboards, based on analysis of data from multiple sourcesCalculate advanced statistical metrics and modeling as required by CSGAnalyze various types of data in order to deliver reports / tablesPerform and be responsible for quality assuranceCollaborate with other teams to solve any problems encountered during data delivery phaseDeliver according to project timelinesParticipate in project set up meetings and guide Project Management and CSG regarding the technical aspects of deliverables with best solutionLeverage available AI tools to translate questionnaires for multi-country projects, enabling better understanding and more efficient project executionWork closely with various teams to drive the improvement, automation, and standardization of Data Management processes through AIAutomate routine status reporting using AI and identify opportunities where AI can be further leveragedFocus on improving the quality management systemActively involved in testing the newly developed software and tools and takes the necessary steps for implementing them once they are approvedCoordinate work within team and follow up on task completionTrain and provide support to colleagues in data processing for using software / toolsInstruct and supervise junior colleaguesPro-actively seeks to gain and share knowledgeAll other activities related to the direct implementation of the work process and the tasks of the team, department and/or organization arising from the nature of the work or the specifics of the projects/assignments being performedEnsure compliance with internal processes, governance standards, and operational best practicesKey Interfaces:

Data Processing teams (incl. HUB)Survey Scripting teams (incl. HUB)Project Delivery teams (incl. HUB)Customer Success teams (CS)Technology & Data teams (T&D)Support Teams (IT, HR, etc.)Skills, knowledge and experience required:

Advanced knowledge of Quantum, Dimension (TOM)Advanced knowledge of other Data Processing programming languages and software (e.g. SPSS, Displayr, Python, C, R)Advanced knowledge in MS Office, VBA Macro preferredWorking knowledge in Project Management and Quality ManagementEnglish B2, written and spokenFocus on quality and attention to detailKeep deadlinesStrive for continuous improvementDrive for resultsGood written and verbal communication skillsBuild good working relationships with colleagues from different teams/locationTeam-player who can also work independentlyProactiveness and solution-oriented mindsetSpend time on right prioritiesVery good understanding of end-to-end value chainPractical experience with AI tools, with the ability to provide clear, structured, and effective prompts to achieve desired outcomesUse AI to create, refine, and summarize communications, helping to improve efficiency, clarity, and decision-makingTypical Education and Work Experience required:

Education degree: Bachelor degree is mandatoryEducation degree: Technically oriented BSc degrees, such as Computer Science, Engineering, Data Science, Mathematics, Statistics, Physics, or related quantitative disciplines

Additional Information

Our Benefits

Flexible working environmentVolunteer time offLinkedIn LearningEmployee-Assistance-Program (EAP)NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

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

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion