Data Validation Specialist at NielsenIQ

Lisbon, Lisbon, Portugal -

Full Time

Start Date

Immediate

Expiry Date

24 Dec, 25

Salary

0.0

Posted On

25 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Validation, SQL, DBeaver, R, Python, Quantitative Analysis, Data Management, Analytical Skills, Problem-Solving, Communication, Interpersonal Skills, Organizational Skills, Attention to Detail, Cross-Functional Teamwork, Research Projects, Data Analysis

Industry

Software Development

Description

Job Description About This Job: As a Data Quality Specialist you will play a crucial role in ensuring the accuracy and reliability of our data. You will be responsible for executing the data validation processes of Consumer Panel Services and associated project work for their country, analyzing key quality indicators, and implementing improvements based on findings from various sources. Your work will support our Client Operations team in resolving data quality-related issues and contribute to the standardization of processes. Responsibilities: Build Knowledge of Data Validation Tools: learn to use internal tools and platforms. Executes the Input Validation processes and associated project work for their country. Works in partnership with the country’s Operations team according to execution requirements as defined by the process playbooks for Operations and associated project work. Data Review: understand the data management process and work effectively within it. Carry out quality check analysis to spot suspicious deviations in the data received from households, in all the phases of the process Query Handler: ability to investigate and resolve data queries raised by Client Ops team or the internal Data Operations teams Engages Project Managers, Data Science on select Operations and associated project work to ensure smooth operations. Qualifications: B.S. or B.A., preferably in a statistical, mathematical, or technical field 1 year of experience in quantitative analysis Working knowledge of SQL, DBeaver, and database structures Experience with R and Python will be a big plus Ability to run research projects and translate results into practical solutions Comfortable working in cross-functional teams Experience handling, manipulating, and analyzing data Strong organizational, communication, and interpersonal skills Ability to document work clearly and prioritize effectively Excellent analytical and problem-solving skills with attention to detail Fluent in English and Portuguese Based in Lisbon We Offer: Convenient Schedule - We operate in a hybrid work system, with two days a week in the office and the remaining days from home. This gives you the flexibility to work in the environment that suits you best. We also provide all the necessary equipment to make sure you can perform your duties effectively from home. International Team- You’ll be working with a diverse, international team, interacting daily with colleagues and stakeholders from different countries. English will be your primary language, giving you the chance to work in a truly global environment Skill Development - This role provides an exciting opportunity to develop expertise by working closely with diverse clients. You'll gain firsthand experience in understanding client needs, delivering tailored solutions, and managing complex projects, which will sharpen your analytical, communication, and client management skills. Career Growth - As part of an international organization, you’ll have access to various development programs and opportunities for relocation within other departments or even countries. Your growth matters to us, and we’re committed to supporting your professional journey! Well-being - Your well-being is a priority. Through our Employee Assistance Program (EAP), you have 24/7 access to confidential support whenever needed. We also offer additional days off and recognize significant moments in your life. LinkedIn Learning - You’ll receive free access to LinkedIn Learning, allowing you to develop new skills at your own pace. From technical knowledge to personal development, this platform offers a wide range of courses to support your career growth. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) 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

Responsibilities

The Data Validation Specialist will ensure the accuracy and reliability of data by executing validation processes and analyzing quality indicators. They will also support the Client Operations team in resolving data quality issues and contribute to process standardization.