Data Extraction & Operations Analyst at NielsenIQ

You’ll be joining a team that delivers high-quality U.S. e-commerce data. With over 16 years of experience, we know our craft, and we’re always evolving. In this role, you’ll use your analytical skills to make sure our clients get accurate, reliable data. You’ll also get hands-on experience with our proprietary technology (and have a mentor to guide you). Plus, you’ll have the chance to help us push forward with new initiatives and improvements. If you enjoy solving puzzles, you’ll fit right in - logical and analytical thinking will help you tackle complex tasks, spot patterns and uncover insights. You’ll be learning constantly, so curiosity and a sense of ownership will be key to your success.  What You’ll Be Doing:  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  • Run thorough checks to ensure data is complete, consistent and is parsed correctly.  • Investigate any anomalies specific to U.S. retail data.  • Write and optimize SQL queries and Databricks notebooks for large-scale analysis.  • Create reports for client-facing teams. Process Improvement  • Spot opportunities for automation and help improve our processes and tools.  • Lead or support strategic projects, like UATs, new processes onboarding, etc.  • Work closely with developers, analysts and client-facing teams to design solutions together.  • Keep operational and project documentation up to date. Qualifications • 1–2 years of experience in data operations, analytics or tech-related roles.  • Solid SQL skills - you should be comfortable with joins, subqueries and CTEs.  • Hands-on experience with BI tools like Tableau, Power BI, etc.  • 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: • Knowledge of e-commerce data and industry trends.  • Familiarity with analytical platforms like Snowflake or Databricks.  • Previous experience in QA or data validation.  • 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 platformIn 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.