Job Description We’re seeking a detail-oriented and analytically driven Data Analyst to join our dynamic and multicultural operations team. In this hybrid role, you’ll be responsible for managing and transforming large datasets into actionable insights, supporting both client deliverables and internal digital initiatives. You’ll play a vital role in the full data operations lifecycle—from validating, extracting, and processing digital transaction data to resolving data quality issues and collaborating with cross-functional teams. This is an exciting opportunity for early-career professionals interested in building strong foundations in data analysis, digital tools, and process automation within a client-focused environment. Key Responsibilities: Data Processing & Analysis Acquire, preprocess, and analyze structured and unstructured data to support business operations and decision-making. Monitor and validate data completeness, accuracy, and consistency using BI tools and SQL. Investigate anomalies and resolve data quality issues in collaboration with local and global teams. Support ongoing operations and reporting by organizing, maintaining, and updating raw data structures and client databases. Data Extraction & Tool Usage Work with internal tools to configure data extraction models. Adapt extraction logic to meet evolving data formats and business needs. Stay up-to-date with internal systems, technologies, and process documentation. Client & Stakeholder Support Respond to client and internal queries with accurate and timely feedback. Attend daily stand-ups to track progress, report blockers, and align with team priorities. Ensure deliverables are met on time and aligned with client expectations and internal KPIs. Automation & Process Improvement Identify and participate in initiatives to automate repetitive tasks. Contribute to process documentation, QA dashboards, and internal tooling enhancements. Support strategic projects aimed at improving operational workflows. Cross-Functional Collaboration Communicate and coordinate with product managers, analysts, and technical teams. Take ownership of sub-projects and drive task execution across global teams. Maintain clear operational documentation and SOPs. Requirements: Must-Have Strong analytical and problem-solving skills. Working knowledge of SQL Ability to manage data with attention to detail and accuracy. Good communication skills and ability to work in multicultural, remote teams. Fluent in English (intermediate to upper-intermediate). Nice-to-Have Exposure to Python, Tableau, Looker, or similar tools. Familiarity with HTML, XML, RegEx, or other scripting/markup languages. Interest in or experience with e-commerce, digital retail, or transaction-based datasets. Previous internship or entry-level experience in data, analytics, or tech-related role. We offer: Food vouchers € 62 Additional Medical Insurance, incl Prophylactics, Outpatient care, Inpatient care, еxpenses for medications and medical products Life Insurance Multisport card (self-funded by the employee) A Hybrid model of working: 3 days of the week you work from home (home office), 2 days from the office. Additional paid leave of 3 days in case of no overdue leave days from previous year Free access to LinkedIn Learning platform In addition: Working in an international organization, once you become a specialist in your field, you can count on numerous programs offering development or relocation to other departments or countries. Your development is important to us! Stable employment in a dynamic and international environment with an established position on the market. Volunteer time off (Global Volunteer Day) Free Employee Assistance Program (EAP) – confidential counselling for emotional well-being Office located close to the city center, easily accessible by public transportation All documents will be treated in the strictest confidentiality. Only short-listed candidates will be invited for an interview. #LI-SG1 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

Data Analyst

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