Data Quality Analyst
Odixcity Consulting
Job Overview
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Job Description
Job Summary
We are seeking a Data Quality Analyst at Odixcity Consulting to ensure the reliability, accuracy, and consistency of datasets used for Artificial Intelligence training and business intelligence systems. This critical role focuses on auditing datasets, identifying anomalies, resolving inconsistencies, and maintaining high-quality data standards. You will assess dataset completeness, labeling accuracy, formatting consistency, and compliance with project guidelines. Your contributions are essential in preventing model bias, improving prediction reliability, and maintaining trustworthy AI systems.
Key Responsibilities
- Audit datasets for quality and consistency.
- Identify data errors and anomalies.
- Validate annotations and labeling accuracy.
- Develop data quality checks and validation rules.
- Monitor dataset integrity across projects.
Job Requirements
- Bachelor’s Degree in Data Science, Statistics, Computer Science, Information Systems, or a related field.
- Must possess data validation and auditing skills.
- Knowledge of data governance concepts.
- Data Quality Management Certification (an advantage).
- Certified as a Google Data Analytics Certification or Microsoft Data Fundamentals, Data Governance or Data Management Certification (optional).
- 3-5 years’ experience in data quality, analytics, or data operations.
Key skills/competency
- Data Quality Assurance
- Data Auditing
- Anomaly Detection
- Data Governance
- Data Validation
- AI Training Data
- Business Intelligence
- Data Consistency
- SQL
- Data Management
How to Get Hired at Odixcity Consulting
- Research Odixcity Consulting's culture: Study their mission, values, recent projects, and employee insights on LinkedIn.
- Customize your resume: Highlight data quality, auditing, and AI data experience specific to Odixcity Consulting's needs.
- Showcase data governance expertise: Emphasize your understanding of data integrity and compliance in your application.
- Prepare for technical and behavioral questions: Focus on practical data anomaly resolution and quality improvement methods.
- Highlight relevant certifications: Mention any Google Data Analytics or Data Management certifications clearly.
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