Dazzle IT services LLC
Data Quality Analyst
Skills
2 months ago
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Important information
Contract type:
Freelance / Contract
Location:
San Antonio, TX, USA
Work mode:
Onsite
Published on:
2 September 2026
What they need
Job Title: Data Quality Analyst
Location: San Antonio, TX / Plano, TX
Work Arrangement: 5 Days Onsite
Contract: 6 Months, with possible extension
Role Summary : Responsible for analyzing enterprise Data Quality defects, identifying recurring systemic issues, performing root-cause analysis and converting individual incidents into a prioritized remediation backlog.
Required Skills
- Strong Data Quality and root-cause analysis experience.
- Strong SQL skills.
- Working knowledge of Python for data analysis.
- Experience working with APIs and enterprise workflow/ticketing platforms.
- Knowledge of Data Quality and metadata tools such as BigEye and Alation
- Understanding of ETL/ELT, source systems, data platforms and reporting layers.
- Strong analytical and problem-solving capability.
- Ability to work across technical and business teams.
Preferred Skills
- CDMP certification preferred.
- Experience with AI/LLM-based classification or clustering.
- Knowledge of data lineage and metadata-management concepts.
- Experience in highly governed or regulated data environments.
Key Responsibilities
- Consolidate Data Quality incidents and defects from enterprise workflow or ticketing systems.
- Normalize defect descriptions, root causes, ownership and resolution information.
- Develop and maintain a standardized DQ defect taxonomy.
- Identify duplicate, recurring and related defects.
- Analyze trends by domain, data asset, application, DQ dimension and root cause.
- Use analytical and AI-assisted techniques to cluster related defects into systemic themes.
- Validate proposed root causes with business and technical SMEs.
- Correlate defects with metadata and lineage information where available.
- Determine the most appropriate source, pipeline, transformation or consumption-layer remediation point.
- Prioritize systemic issues based on recurrence, impact, criticality, age and downstream exposure.
- Create and maintain a prioritized remediation backlog.
- Support assignment of owners and remediation SLAs.
- Validate remediation using Data Quality evidence.
- Develop reporting for defect recurrence, aging, ownership and remediation progress.
Work Location: In person
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