Data QA Analyst

Description

Job Summary: We are seeking a Data QA Analyst to ensure the integrity and reliability of data assets through the design and implementation of data quality frameworks. Key Highlights: 1. Ensure data asset integrity and reliability. 2. Collaborate with data teams to deliver high-impact solutions. 3. Support internal and external audits with evidence of data quality. **Credicorp Capital** invites you to turn challenges into opportunities and become our next **Data QA Analyst** for the Technology team. This position is available in **Lima, Peru**. **Mission:** Ensure the integrity, reliability, and completeness of data assets by designing and implementing robust Data Quality Assurance (Data QA) frameworks that support strategic decision-making, risk management, and regulatory compliance. **Key Responsibilities:** * Perform reconciliations across source systems, ETL processes, databases, and portals. * Conduct technical reviews of design, code, and testing to ensure solution quality and consistency. * Proactively collaborate with data analysts, engineers, and scientists to deliver high-impact, high-quality solutions. * Document business rules, data definitions, and acceptance criteria in collaboration with business, risk, and compliance areas. * Perform data profiling and exploratory analysis on new data sources (*data quality due diligence*) prior to their integration into production systems. * Support internal and external audits by providing evidence of quality controls and data lineage. **Requirements:** * Bachelor’s degree in Computer Engineering, Systems Engineering, Computer Science, or related fields. * Courses or diplomas in Data and Analytics (preferred). * Knowledge of Scrum Master or Agile practices (preferred). * Minimum 2 years of experience validating data quality, migrations, or ETL processes. * Minimum 3 years of experience in: + QA, Data QA, or Data Analytics roles. + Advanced SQL proficiency. + Experience collaborating with business and technology teams. + Familiarity with Azure Databricks and Azure Data Factory. + Experience validating integration flows, data cleansing, and data processing. + Experience in Data Warehouse or Data Lake modeling (Kimball, Star Schema, or Third Normal Form). + Experience with versioning and deployment of components (GitHub). + Knowledge of data processing using Databricks. + Familiarity with programming languages such as Python, Java, Scala, or similar. + Participation in projects applying Agile practices (preferred). ***This recruitment is also open to persons with disabilities.***