Senior Data Analyst

Description

**About the Role** We are seeking a Senior Data Analyst to validate, audit, and ensure the quality and accuracy of data generated by Artificial Intelligence models, ensuring that information used in decision-making is reliable, consistent, and aligned with business rules. On a day-to-day basis, this person will be responsible for comparing AI predictions against real-world data, investigating discrepancies, identifying inconsistencies, biases, and signs of model performance degradation, as well as creating metrics (accuracy, precision, recall, error, and reliability) and establishing validation criteria and standards. They will collaborate closely with IT, Data, AI, and business teams, building reports, dashboards, and KPIs, and communicating results clearly to the Executive Leadership Team, while providing feedback and analysis to support continuous model improvement. **Responsibilities** * Validate and audit data generated by Artificial Intelligence models * Analyze discrepancies between predicted data (AI) and actual data * Create metrics for model accuracy, precision, recall, error, and reliability * Identify patterns of inconsistency, bias, or model performance degradation * Collaborate with IT, Data, AI, and business teams * Define and document validation rules, data quality criteria, and data standards * Build reports, dashboards, and data quality indicators * Support the AI team with feedback for continuous model improvement * Communication and Presentation of Results: Communicate analysis results clearly and understandably to the Executive Leadership Team **Requirements (Mandatory)** * Experience as a Data Analyst or Data Quality Analyst * Proficiency in SQL * Experience analyzing and validating large volumes of data * Experience with BI tools **Preferred Qualifications (Desirable)** * Experience with Artificial Intelligence / Machine Learning projects * Knowledge of data governance and data quality * Experience in industrial environments, ERP systems, or corporate systems **Expected Competencies** * Analytical rigor and critical thinking to validate data and identify discrepancies (AI vs. reality) * Strong expertise in data quality (rules, consistency, auditing, and accuracy) * Proficiency in SQL and analysis of large datasets with organization and traceability * Understanding of model metrics (accuracy, precision, recall, error) and performance/bias monitoring * BI and data storytelling skills to build dashboards and communicate results clearly to the Executive Leadership Team * Cross-functional collaboration with IT, Data, AI, and business teams * Attention to detail, autonomy, and ownership mindset focused on continuous improvement.