Data Quality Analyst

🗂 We’re Hiring: Data Quality Analyst🕒 Employment Type: Full-Time💼 Level: Entry-Level to Mid-LevelWe are seeking a detail-oriented, analytical, and quality-focused Data Quality Analyst to join our growing data team. This role is ideal for individuals who are passionate about data accuracy, validation, governance, reporting, and ensuring that business-critical data remains reliable and consistent.🎯 Key Responsibilities• Monitor and assess data quality across multiple systems and data sources.• Perform data profiling, validation, reconciliation, and quality assessments.• Identify missing, duplicate, inconsistent, inaccurate, or outdated data.• Develop and execute data quality checks, rules, and validation procedures.• Investigate the root causes of data quality issues and recommend corrective actions.• Work with Data Engineers, Data Analysts, Developers, and business teams to resolve data issues.• Monitor data quality metrics, KPIs, and performance indicators.• Prepare data quality reports, dashboards, and management summaries.• Maintain data quality documentation, standards, definitions, and procedures.• Support data cleansing, standardization, transformation, and remediation activities.• Assist with data governance and master data management initiatives.• Validate data migrations, system integrations, and new data pipelines.• Perform SQL-based data analysis and reconciliation across databases and systems.• Establish automated data quality checks where appropriate.• Support audits, compliance reviews, and data governance assessments.• Identify opportunities to improve data processes, controls, and overall data reliability.✅ Requirements• Diploma or Bachelor’s degree in Data Analytics, Computer Science, Information Technology, Statistics, Mathematics, Business Analytics, or a related field is preferred.• Experience in data quality, data analysis, data governance, database management, or a related field is an advantage.• Fresh graduates with relevant internships, academic projects, or certifications are encouraged to apply.• Strong SQL skills and understanding of relational databases.• Good knowledge of Microsoft Excel or Google Sheets.• Understanding of data quality dimensions such as accuracy, completeness, consistency, validity, uniqueness, and timeliness.• Familiarity with data profiling, validation, reconciliation, and cleansing techniques.• Experience with Power BI, Tableau, or other reporting tools is an advantage.• Basic knowledge of Python or other scripting languages is a plus.• Familiarity with data governance concepts, metadata, master data, and data standards is an advantage.• Strong analytical, investigative, and problem-solving skills.• Excellent attention to detail and commitment to data accuracy.• Ability to identify patterns and investigate data anomalies.• Strong organizational and documentation skills.• Good communication and teamwork abilities.• Ability to work with technical and non-technical stakeholders.• Good written and verbal communication skills in English.🌟 What We Offer• Hands-on experience working with enterprise data quality and governance processes.• Exposure to SQL, databases, data validation, data cleansing, reporting, and analytics.• Structured training and mentorship from experienced data professionals.• Opportunities to work on data improvement, migration, integration, and governance projects.• Career progression into Senior Data Quality Analyst, Data Analyst, Data Governance Analyst, Data Engineer, Business Intelligence Analyst, or Data Quality Lead roles.• Opportunities to develop strong analytical, technical, and data management skills.• Collaborative and data-driven working environment.• Continuous learning and professional development opportunities.• Competitive compensation with performance-based incentives.