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Data Quality Analyst

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Onsite

Data Quality Analyst

Dazzle IT services LLC

Data Quality Analyst

Skills

SQL QueriesPythonData AnalysisAI

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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