Principal Data Operations Analyst

As a Stat Ops Principal Data Operations Analyst, you will play a critical role in ensuring the accuracy, quality, and reliability of Consumer Panel Services data. You will execute sample data operations, support country-specific projects, monitor key data quality indicators, and identify opportunities for continuous improvement.

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

Salary - 32,100 - 36,000 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.

Key Responsibilities

• Execute Stat Ops processes and support associated project work for the assigned market.
• Develop expertise in internal sample data tools, platforms, and operational methodologies.
• Partner with local Operations teams to ensure processes are delivered accurately and in accordance with established playbooks and operational standards.
• Conduct data quality reviews and analyses to identify anomalies, inconsistencies, and suspicious deviations throughout the data collection and processing lifecycle.
• Investigate and resolve data-related queries raised by Client Operations and internal Data Operations teams.
• Collaborate with Project Managers and Data Science teams to support operational initiatives and ensure smooth project execution.
• Monitor key quality metrics and recommend improvements to enhance data accuracy and process efficiency.
• Support the harmonization of processes, methods, and applications through the adoption of best practices.
• Document processes, findings, and recommendations to support operational excellence and knowledge sharing.
• Contribute to initiatives focused on continuous improvement, data quality enhancement, and operational effectiveness.

 
Qualifications & Requirements

Essential

• Bachelor's degree (B.A. or B.S.), preferably in Statistics, Mathematics, Computer Science, Data Analytics, Engineering, or a related technical field.
• Working knowledge of SQL and database structures.
• Experience handling, manipulating, and analyzing data.
• Ability to work effectively in a cross-functional environment with multiple stakeholders.
• Strong analytical and problem-solving skills with excellent attention to detail.
• Ability to document work and manage priorities effectively.
• Ability to work independently and collaboratively within a team environment.
• Fluent English and fluent Spanish or Portuguese.
• Based in Madrid.
Preferred

• Master's degree in a relevant discipline.
• 1-3 years of experience in quantitative analysis, data operations, or a related analytical field.
• Experience with Python and/or R.
• Experience executing research or analytics projects and translating insights into operational or analytical 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 complex problems.

Function: General Business
Experience Level: Mid-Senior Level