Data Operations Analyst

• Bachelor's degree (B.A. or B.S.), preferably in Statistics, Mathematics, Computer Science, Data Analytics, Engineering, or a related technical field.
• Candidates in the final year of a relevant bachelor's degree may also be considered, particularly those with relevant internship or practical experience.
• Experience handling, manipulating, and analyzing data.
• Working knowledge of SQL and database structures.
• Strong analytical and problem-solving skills with excellent attention to detail.
• Ability to work effectively in a cross-functional environment with multiple stakeholders.
• Ability to document work clearly and manage priorities effectively.
• Ability to work independently as well as collaboratively within a team.
• Fluent English and fluent Spanish or Portuguese.
• Based in Madrid.

• 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.
• Ability to manage multiple projects simultaneously while adapting to changing priorities and deadlines.
• Strong organizational, communication, and interpersonal skills.
• Ability to balance technical, operational, and business perspectives when solving problems.

Working closely with Data Operations, Client Operations, Data Science, and Project Management teams, you will help resolve data quality issues, support operational excellence, and contribute to the standardization and optimization of processes across the organization.

Salary - 22,300 - 25,200 EUR gross per year. Placement within the range will depend on objective criteria including experience, skills, and internal equity considerations. We are committed to equal pay and pay transparency. Remuneration decisions are made using gender-neutral and objective criteria.

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

As a Stat Ops Data Operations Analyst, you will play a key role in ensuring the accuracy, quality, and reliability of Consumer Panel Services data. You will be responsible for executing sample data operations and supporting country-specific projects, while monitoring data quality, identifying anomalies, and driving continuous process improvements.

• Execute Stat Ops processes and support associated project work for the assigned market.
• Develop expertise in internal sample data tools, systems, and operational platforms.
• Partner closely with local Operations teams to ensure timely and accurate execution of processes in line with established playbooks and operational standards.
• Monitor and analyze data quality indicators, identifying unusual patterns, discrepancies, or deviations throughout the data collection and processing lifecycle.
• Perform data quality reviews and investigations to ensure data accuracy, completeness, and consistency.
• Investigate and resolve data-related queries raised by Client Operations or internal Data Operations teams.
• Collaborate with Project Managers, Data Science, and cross-functional stakeholders to support operational initiatives and continuous improvement projects.
• Contribute to process harmonization and adoption of best practices across markets.
• Document findings, process updates, and recommendations to support operational efficiency and knowledge sharing.
• Support initiatives aimed at improving data quality, process effectiveness, and overall operational performance.