Senior Data Analyst

Description

Job Summary: We are seeking a Senior Data Analyst to validate and audit data generated by AI models, ensuring the reliability and accuracy of information used for decision-making. Key Highlights: 1. Validate and audit data generated by Artificial Intelligence models 2. Create metrics for accuracy, precision, recall, error, and model reliability 3. Cross-functional collaboration with IT, Data, AI, and business domain teams About the Role We seek a Senior Data Analyst to perform validation, auditing, and quality assurance of data generated by Artificial Intelligence models, ensuring that information used in decision-making is reliable, consistent, and compliant with business rules. Day-to-day responsibilities include 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. The role involves partnering with IT, Data, AI, and business domain teams to build reports, dashboards, and key indicators, and clearly communicating results to executive leadership, while providing feedback and analysis to continuously improve models. Responsibilities * Validate and audit data generated by Artificial Intelligence models * Analyze discrepancies between predicted data (AI) and actual data. * Create metrics for accuracy, precision, recall, error, and model reliability * Identify patterns of inconsistency, bias, or model performance degradation * Collaborate with IT, Data, AI, and business domain 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: Clearly and effectively communicate analysis results to executive leadership. 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 Desirable Qualifications (Nice-to-Have) * 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). * SQL and large-volume data analysis 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 executive leadership. * Cross-functional collaboration with IT, Data, AI, and business domain teams. * Attention to detail, autonomy, and ownership mindset focused on continuous improvement.