Data Operations Analyst

About the role

You will join a team that delivers high‑quality U.S. e‑commerce data, using analytical skills to ensure clients receive accurate, reliable information. You will work with proprietary technology, receive mentorship, and contribute to new initiatives and improvements.

Key responsibilities

• Build and debug data extractors for e‑receipts using NielsenIQ’s markup language and RegEx, validate with SQL and BI tools, and keep documentation up to date.
• Run thorough data quality checks, investigate anomalies in U.S. retail data, write and optimise SQL queries and Databricks notebooks, and create reports for client‑facing teams.
• Identify automation opportunities, support strategic projects such as UATs and onboarding, collaborate with developers and analysts, and maintain operational documentation.

Required profile

• 1–2 years of experience in data operations, analytics or related technical roles.
• Strong SQL knowledge (joins, subqueries, CTEs) and hands‑on experience with BI tools like Tableau or Power BI.
• Logical, analytical mindset with excellent communication skills and attention to detail.
• Fluent English.

Required skills

• SQL
• RegEx
• NielsenIQ proprietary markup language
• Tableau or Power BI
• Databricks (and optionally Snowflake)

What we offer

• Food vouchers (€62) and additional medical insurance.
• Life insurance, multisport card, and hybrid working model (3 days remote, 2 days office).
• Additional paid leave, free LinkedIn Learning access, and employee assistance program.
• Opportunities for international development, stable employment in a dynamic environment, and volunteer time off.