Basic

Senior Data Scientist

Lisboa, Lisbon Metropolitan Area, Portugal Company: Jobio Client / Employer: Nielseniq
Posted: 18.05.2026
Closing date: 02.07.2026
Job reference: b06af2f7f263443f8cdff829e2c8a9f2

Job information

Location
Lisboa, Lisbon Metropolitan Area, Portugal
Company
Jobio
Client / Employer
Nielseniq
Job reference
b06af2f7f263443f8cdff829e2c8a9f2
Listing type
Basic
EU work permit required
No
Posted
18.05.2026
Closing date
02.07.2026

Job description

Job DescriptionAbout the TeamWe are a global, diverse team that is passionate about bringing world-class solutions alive and engaging with different end2end business branches to bring the complete consumer journey to our clients. Client satisfaction and highest quality standards in the markets across the world are our core drivers and main focus areas. About the RoleWe are looking for a Senior Data Analysts to support the implementation and activation of processes, that are reinventing the way we measure how people shop. Be part of the exciting journey to transform our panel measurement business. In this role you work as part of the International Markets Data Science team being the SPOC (single point of contact) for our latest measurement innovation, with a focus on engaging with in-market and global teams on bringing our product alive, keep it stable and ensure the ongoing quality performance of the product.Your focus will be to ensure the correct translation of the method into country needs, ensuring technical correctness and drive efficient, reliable, scalable and maximally automated implementation of new innovations. About YouYou are a great fit to our team if you have knowledge of consumer behaviour, panels in general, consumer metrics and analytics. Experience with any receipt capture methodologies will be a fantastic addition. Strong stakeholder management and project management skills together with agile, solution-oriented ways of working and a high interest in decision making to bring our product forward are driving you. If you see yourself in the role, profound coding experience and technical skills combined with a flexible and innovative mindset are essential skills. We are looking for:With at least 3 or more years of experience in FMCG / Retail / Consumer Research or any related industry.Working knowledge of Python and optimally also R; esp. in the area of data extraction, data cleaning, root cause analysis and data visualization.Experience with building Shiny Apps or corresponding interfaces in PythonDatabricks and PySpark knowledge preferableExperience with SQL, working with queries and large-scale databasesExcellent communication/writing and collaboration skills, strong analytical thinking, strong leadership skillsBasic knowledge of the European market including a location close to our Lisbon officeKnowledge of/ Interest in consumers and their behaviours and any receipt collection methodologies.Strong aptitude for data analysis with basic knowledge of statistics, including the ability to manipulate, analyse and interpret large data sources.Strong time management and coordination skillsProject management experience including the skill to keep the end2end overviewUniversity degree in Statistics, Mathematics, Socio-economics or other related fieldsInterest in agile tools and agile ways of working including team player in an agile working environment Ability to navigate through crisis and difficult interactions together with ability to solve problems. What we can offer:Work in dynamic environment engaging with local and global companies.Benefits & flexible working hours, hybrid work options.Internal trainings will be provided together with detailed onboarding agenda.Access to learning platformsStaff and team events #LI-FCAdditional InformationOur BenefitsFlexible working environmentVolunteer time offLinkedIn LearningEmployee-Assistance-Program (EAP)About NIQNIQ 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.comWant to keep up with our latest updates?Follow us on: LinkedIn | Instagram | Twitter | FacebookOur commitment to Diversity, Equity, and InclusionNIQ 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

Skills

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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