Marketing & Data Scientist at NielsenIQ

Milan, Lombardy, Italy -

Full Time

Start Date

Immediate

Expiry Date

14 Jul, 26

Salary

0.0

Posted On

15 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistics, Data science, Regression, Factor analysis, Econometric modelling, Python, R, Quantitative research, Project management, Client-facing, Communication, Analytical thinking, Problem-solving, Data visualization, Marketing mix modelling, Bayesian networks

Industry

Software Development

Description

Job Description About the job : West Europe Marketing Science team is a specialist business unit providing consulting and advanced statistics across the NIQ SA&I portfolio. We act as consultants for statistical/ technical advice, input into client proposals, as well as support to research teams in the design & execution of all client projects. The team, spread across Europe, share the same vision to learn, develop and share the latest cutting-edge methods. Working with colleagues across country borders we promise a rewarding career progression: developing, customizing, and applying leading edge techniques across international markets, covering the full range of research applications across a wide range of industry sectors. Reporting to the head of Brand & Media Marketing Science team, your strong background in statistics and/ or data science enables you to run complex analytic projects. You will make useful contributions to discussions with clients and researchers and will recommend appropriate methodologies to design analytic/ research programs which address the client’s marketing/business problems. Good communication skills are important as you will present analysis to researchers/clients on a regular basis. We are looking for someone with experience with applying a diverse range of advanced analytics to survey research and other data sources, with excellent knowledge of Regression (Logistic, Linear, Non-linear), Factor analysis, Mapping… Knowledge of other areas such as Bayesian Networks, econometric modelling, segmentation, data integration, marketing mix modelling. We are looking for someone who is self-motivated, pro-active, creative, and eager to learn. Responsibilities : Deliver analytics projects to a high quality that meet internal stakeholders’ and clients’ requirements Maintain good working knowledge of statistical analysis techniques, both current and emerging. Effectively manage own workload & be responsible for managing projects. Maintain a broad and deep understanding of quantitative research techniques, to be able to mention appropriate solutions to client problems in a convincing way. Develop an understanding of the possibilities and limitations of techniques and software packages. Promote new techniques and approaches as well as continuously review external developments Ensure high quality of all finished documents Represent GfK’s Marketing Science expertise at internal and external conferences and workshops Experience & Qualifications : Bachelor or master’s degree in a field that emphasizes the learning of modelling, statistical or mathematical skills (PhD is a plus) 5+ years of work experience in a market research agency Expert modelling skills and statistics knowledge (essential) Expert statistical skills and knowledge of econometric techniques in: survey/polling statistics (sampling, non-response adjustments, Bayesian statistics), and econometric modelling (program evaluation, forecasting, economic theory, panel data), and/or observational causal inference (potential outcomes, structural equation models, instrumental variables). Experience in and strong interest in the following fields: pricing research, brand management, digital behavioral analysis, segmentation, media effectiveness, etc Expert knowledge of analytics programming languages (e.g., Python, R) and the respective tool ecosystem (e.g., R-Studio Server, Spyder, Jupyter, POSIT Workbench) Solid experience visualizing and communicating results of data analyses with the ability to think beyond the numbers while addressing real-world business problems Desirable : Experience in open data sourcing (Google Trends, Social Mentions, etc.) Experience using version control systems (e.g., Git) Basic knowledge of Data Science such as Big Data Analytics (Machine Learning, Hadoop, Map Reduce, Hive, Spark, etc.) Basic knowledge of cloud computing environments and tooling (AWS, Azure) Basic SQL skills with regards to working with relational databases Basic knowledge of programming in VBA Soft Skills : Mathematical thinking, strong analytical and problem-solving skills Proven client-facing skills: translate and clearly communicate sophisticated analytical information to non-expert stakeholders and clients, able to deliver analytic insights in an impactful and meaningful way. Good at managing researcher expectations. Proven project management skills: manage own and team time effectively and ensure all project deadlines are met, act to resolve conflicts between tasks Good written skills, ability to write ability to help write proposals, reports and concise summary of findings (essential) Good attention to detail – ensures all outputs delivered to clients/researchers are professionally presented and accurate. Good interpersonal skills – treat others with respect, be cooperative, friendly and considerate of others. Be a good role model, help to build teamwork and team spirit. Be well-organized, flexible, committed, pro-active, and creative Is able to learn new methodologies and programming languages quickly. Ease of communication in an English-speaking business environment #LI-Hybrid #LI-FC Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-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://www.nielseniq.com/global/en/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 Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook 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 Career Site Team: Technology

Responsibilities

Deliver high-quality analytics projects that meet internal and client requirements while maintaining deep knowledge of statistical techniques. Act as a consultant to provide technical advice, design research programs, and present impactful insights to stakeholders.