Data Quality Analyst
Odixcity Consulting
Job Overview
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Job Description
Job Summary
Odixcity Consulting is seeking a Data Quality Analyst to ensure the reliability, accuracy, and consistency of datasets crucial for Artificial Intelligence training and business intelligence systems. This pivotal role involves auditing datasets, identifying anomalies, resolving inconsistencies, and upholding stringent data quality standards. You will be responsible for assessing dataset completeness, labeling accuracy, formatting consistency, and adherence to project guidelines. Your work as a Data Quality Analyst is 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 strong data validation and auditing skills.
- Knowledge of data governance concepts is required.
- Data Quality Management Certification (an advantage).
- Certification 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 Auditing
- Data Validation
- Data Consistency
- Anomaly Detection
- AI Data Training
- Business Intelligence
- Data Governance
- Labeling Accuracy
- Dataset Integrity
- Quality Standards
How to Get Hired at Odixcity Consulting
- Research Odixcity Consulting's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume strategically: Highlight data quality, auditing, and AI system experience, using keywords from the Data Quality Analyst description.
- Showcase relevant project work: Prepare to discuss specific examples of data validation, anomaly resolution, and data governance initiatives.
- Master data quality concepts: Be ready to demonstrate deep understanding of data integrity, consistency, and how it impacts AI models in interviews.
- Network with Odixcity professionals: Connect on LinkedIn with current employees to gain insights and potentially referrals.
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