6 дней назад
Data Operations Analyst
22 300 - 25 200€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Operations Analyst (SQL/Data Quality): Ensuring the accuracy, quality, and reliability of Consumer Panel Services data through sample data operations, quality monitoring, and investigations with an accent on SQL, database structures, and cross-functional operations. Focus on identifying anomalies, resolving data-related queries, standardizing processes across markets, and driving continuous improvement.
Location: Hybrid in Madrid, Spain; candidates must be based in Madrid
Salary: EUR 22,300–25,200 gross per year
Company
NIQ is a consumer intelligence company providing consumer buying behavior insights through analytics, research, and technology platforms across more than 100 markets.
What you will do
- Execute Stat Ops processes and support sample data operations for the assigned market.
- Monitor data quality indicators and investigate unusual patterns, discrepancies, and deviations.
- Perform data quality reviews to ensure accuracy, completeness, and consistency.
- Resolve data-related queries with Client Operations and Data Operations teams.
- Collaborate with Project Management, Data Science, and local Operations teams on operational initiatives.
- Document findings, process updates, and recommendations while supporting process harmonization and continuous improvement.
Requirements
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Analytics, Engineering, or a related technical field; final-year students may also be considered.
- Experience handling, manipulating, and analyzing data.
- Working knowledge of SQL and database structures.
- Strong analytical, problem-solving, organizational, and documentation skills.
- Ability to work independently and collaboratively in a cross-functional environment.
- Fluent English and fluent Spanish or Portuguese; based in Madrid.
Nice to have
- Master’s degree in a relevant discipline.
- Experience with Python and/or R.
- Experience executing research or analytics projects and translating findings into operational or business solutions.
- Experience managing multiple projects and adapting to changing priorities.
Culture & Benefits
- Flexible working environment.
- Volunteer time off.
- LinkedIn Learning.
- Employee Assistance Program.
- AI-supported recruitment processes are subject to fairness, transparency, human oversight, and inclusion principles; final hiring decisions are made by people.
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