Data Operations Analyst (Fox)

Job Description You’ll be joining a team that delivers high‑quality e‑commerce data across more than 40 countries. We’re looking for a detail‑oriented, analytically minded Data Operations Analyst to be part of our dynamic, multicultural team. In this role, you’ll contribute to the entire data operations lifecycle—from validating, extracting, and processing digital transaction data to troubleshooting data quality issues and partnering with cross‑functional teams. This is a great opportunity for early‑career professionals eager to build a solid foundation in data analysis within a client‑focused environment. You’ll also have the chance to drive new initiatives and continuous improvements. If you enjoy solving puzzles, you’ll feel right at home: your logical thinking and analytical mindset will help you navigate complex challenges, identify patterns, and uncover insights. With constant learning at the core of this role, curiosity and ownership will be essential to your success. Responsibilities: Data Extraction Build data extractors to parse e-receipts using NielsenIQ’s proprietary markup language and RegEx. Debug and fine-tune templates to make sure they’re accurate, then validate your work with SQL and BI tools. Keep documentation clear and communicate effectively with tech teams and client-facing teams. Adapt extraction logic as data formats and business needs change. Stay up to date with our internal processes and tools. Data Quality & Analysis Conduct comprehensive checks to ensure data is complete, accurate, consistent, and correctly parsed, leveraging BI tools and SQL. Investigate anomalies and irregularities specific to transactional data. Write and optimize SQL queries, and build dashboards to support large‑scale analysis. Prepare clear, actionable reports for client‑facing teams. Process Improvement Spot opportunities for automation and help improve our processes and tools. Support strategic projects aimed at improving operational workflows. Work closely with developers, analysts and client-facing teams to design solutions together. Keep operational and project documentation up to date. Qualifications First experience (internship, projects) in data operations, analytics or tech related roles. Basic SQL skills: Ability to write simple queries to retrieve and inspect data; Can read and understand more complex queries written by others; Understands table structures, relationships, and how data is organized within a database. A logical, analytical mindset to tackle complex tasks and spot patterns in data. Great communication skills and attention to detail (crucial when working with data that people rely on to make decisions). Fluency in English. Nice to Have: Hands-on experience with at least one BI tool like Tableau, Power BI, Looker etc. Knowledge of e-commerce data and industry trends. Familiarity with analytical platforms like Snowflake or Databricks. Previous experience in QA or data validation. Familiarity with HTML, XML, RegEx, or other scripting/markup languages. Experience working in agile environments and understanding basic software development processes. 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 #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, o