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Data Quality Analyst
2 weeks ago
Key Responsibilities:
- Design and implementdata quality rules, checks, and metricsacross multiple data sources and pipelines.
- Write advancedSQL queriesto perform data validation, profiling, and anomaly detection.
- Develop and maintainPython scriptsto automate data quality assessments and reporting.
- ApplyAI/ML techniques(e.g., clustering, outlier detection, pattern recognition) to identify hidden data quality issues and inconsistencies.
- Collaborate with data engineers, analysts, and business stakeholders to understand data flows and ensure data integrity.
- Build and maintaindata quality dashboardsand alerts to monitor ongoing data health.
- Document data quality processes, findings, and remediation steps in a structured and accessible format.
- Participate in the development ofdata quality frameworksand contribute to continuous improvement initiatives.
- SupportAI/ML model teamsby ensuring high-quality input data and identifying potential data biases or gaps.
Required Skills & Qualifications:
- Bachelors / masters degree in computer science, Data Science, Information Systems, or a related field.
- 3+ years of experience in data quality, data analytics, or data engineering roles.
- Strong command ofSQLfor data analysis and validation.
- Solid understanding ofData Warehousing concepts(ETL, schema design, data lineage).
- Proficiency inPythonfor scripting, automation, and data manipulation.
- Exposure toAI/ML techniquessuch as anomaly detection, clustering, or supervised learning.
- Experience withdata profiling toolsandquality monitoring platforms.
- Familiarity with cloud data platforms (e.g., Azure , snowflake)
- Excellent analytical, problem-solving, and communication skills.