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Data Analyst

Data Analyst

OpenkyberTN, United States
18 hours ago
Job type
  • Full-time
  • Quick Apply
Job description

Role : Data Analyst Location : Nashville, TN (or) Alpharetta, GA Contract

Responsibilities

  • Data Profiling : Analyze and examine large datasets to understand structure, completeness, accuracy, and relationships. Identify data anomalies, redundancies, and opportunities for standardization and improvement.
  • Data Quality Assessment : Monitor, measure, and report on data quality metrics such as completeness, accuracy, consistency, timeliness, and uniqueness across key datasets and systems.
  • Data Cataloging (EDO / Data Catalog) : Maintain and curate the enterprise data catalog using tools such as Data EDO. Ensure that metadata, lineage, ownership, and business definitions are captured and updated.
  • Data Quality Rule Creation : Design, implement, and maintain data quality rules and validation scripts. Collaborate with business and technical teams to translate requirements into effective data quality checks and alerts.
  • Data Cleansing & Standardization : Develop and execute data cleansing and transformation routines to remediate quality issues and enforce enterprise standards.
  • Stakeholder Collaboration : Work with data stewards, owners, data engineers, and business analysts to resolve data quality issues and enhance understanding of data assets.
  • Documentation & Reporting : Prepare comprehensive data quality reports, visualizations, and dashboards to communicate findings and improvement initiatives to stakeholders.
  • Continuous Improvement : Recommend and drive improvements in data quality processes, tools, and best practices.

Required Skills

  • Good experience in data analysis, data quality, or data governance roles.
  • Hands-on experience with data profiling, quality, and cataloging tools (e.g., Data EDO, Collibra, Informatica, Alation, Talend).
  • Experience with data visualization / dashboarding tools (Tableau, Power BI, Looker).
  • Experience in writing and deploying data quality rules, validations, and remediation scripts.
  • Strong analytical, problem-solving, and documentation skills.
  • Familiarity with modern data architectures (data lakes, warehouses) is an advantage.
  • Advanced SQL skills and proficiency working with large structured and semi-structured datasets.
  • Excellent written and verbal communication skills.
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    Data Analyst • TN, United States

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