Data Quality Analyst

Job Title: Data Quality AnalystLocation: Remote – Latin AmericaType of Contract: Full-Time | ContractorSalary Range: Market RatesLanguage Requirements: English – Professional FluencyWe are seeking a skilled Data Quality Analyst with strong experience in data governance, SQL, and enterprise systems like Salesforce to join our growing team. You will play a key role in ensuring the accuracy, consistency, and reliability of critical business data across multiple domains. Your work will directly impact data-driven decision-making, operational efficiency, and overall business performance.Key ResponsibilitiesPerform in-depth data profiling and analysis to identify data quality issues, anomalies, and inconsistenciesDevelop and implement data quality rules, checks, and monitoring frameworksAutomate data quality validations and reporting processes to improve scalability and efficiencyBuild and maintain dashboards and reports to track data health and quality metrics over timeInvestigate root causes of data issues and collaborate with cross-functional teams to implement remediation plansCreate and manage Jira tickets to track issues through resolution with clear documentation and RCAAct as a data quality advocate, promoting best practices and continuous improvement across the organizationMust-Have QualificationsBachelor’s degree in Computer Science, Data Science, Information Systems, Statistics, or related field5+ years of experience as a Data Quality Analyst or similar roleStrong SQL skills for data querying, analysis, and manipulationHands-on experience with Salesforce (SFDC) and enterprise systems like WorkdayExperience working with data warehouses (Snowflake preferred)Solid understanding of data management principles and database technologiesStrong analytical, problem-solving, and communication skills with the ability to explain technical concepts to non-technical stakeholdersPreferred QualificationsExperience with Quote-to-Cash (Q2C) processesFamiliarity with data quality and governance tools such as Collibra or Monte CarloExperience with scripting languages such as Python for automation and analysisKnowledge of various data domains (e.g., billing, contracts, financial data)Certification in data management or data quality (e.g., CDMP)Experience leveraging AI/LLMs to improve data analysis and anomaly detection