Data Quality Analyst

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Written by AI from the job title and company, not by EDO, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Data Quality Analyst at EDO plays a crucial role in ensuring the integrity, accuracy, and reliability of data utilized across various departments. The individual in this position will be responsible for developing and implementing data quality strategies, conducting assessments, identifying discrepancies, and fostering a culture of data-driven decision-making. This position will require collaboration with cross-functional teams to enhance data quality processes and support business objectives through meticulous data governance.

Job Responsibilities

• Assess data quality metrics and establish protocols for data validation and cleansing.
• Develop and implement automated data quality checks to enhance accuracy and timeliness.
• Collaborate with data stewards and other stakeholders to identify data quality gaps and recommend solutions.
• Conduct routine data audits to ensure compliance with established data standards.
• Provide training and support to team members on data governance policies and best practices.
• Document data quality processes and maintain an up-to-date library of best practices and guidelines.
• Analyze data quality issues and work toward continuous improvement initiatives.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
• 2+ years of experience in data analysis, data quality management, or a related role.
• Strong proficiency in data querying languages such as SQL.
• Experience with data visualization tools and reporting systems.
• Familiarity with data governance best practices and frameworks.
• Exceptional analytical and problem-solving skills with keen attention to detail.
• Effective communication and collaboration skills to work with diverse teams.

Technologies & Tools

The Data Quality Analyst will utilize a range of technologies and tools to perform their duties effectively. Key tools include SQL for data manipulation, Python or R for data analysis, and data visualization tools such as Tableau or Power BI. Additionally, familiarity with data management platforms and software such as Informatica or Talend will be beneficial for ensuring data quality across various systems.

Ideal Candidates

An ideal candidate for the Data Quality Analyst position will possess a meticulous eye for detail and a strong commitment to data integrity. They should be proficient in analytical reasoning and demonstrate a proactive approach to identifying and resolving data discrepancies. Excellent communication skills are essential, enabling them to effectively collaborate with cross-functional teams. A passion for continuous improvement and a solid grasp of data quality principles will further distinguish the right individual in this advanced analytical role.