Data Quality Analyst

A Data Quality Analyst ensures that data used across an organization is accurate, reliable, and consistent. They oversee the integrity of data systems, implementing processes and standards to maintain high data quality. 

Their role involves not just analyzing data but also guiding teams in data management best practices, making them crucial in maintaining the trustworthiness of an organization's data.

Data Quality Analysts lead efforts to evaluate and improve the accuracy and completeness of data. They design and execute tests to identify data issues, create and enforce data quality standards, and collaborate with other departments to resolve discrepancies. 

They ensure that data-driven decisions are based on reliable information, ultimately supporting better business outcomes and strategic planning.

Are you ready to take the lead in ensuring data excellence as our Data Quality Analyst?

In this role, you'll oversee the integrity and accuracy of our data, shaping the foundation for informed decision-making and strategic growth.

As a pivotal force in our data management team, you'll design and implement quality standards, conduct rigorous data testing, and resolve discrepancies to ensure our data remains reliable and actionable.

You'll guide the development and implementation of data quality practices, driving improvements and fostering a culture of data excellence throughout the organization.

• Develop and implement data quality standards and processes.
• Assess data quality issues and propose solutions to enhance data accuracy and completeness.
• Identify and address root causes of data quality problems to prevent future occurrences.
• Drive continuous improvement in data quality processes and standards.
• Collaborate with cross-functional teams to identify data quality improvement opportunities.
• Analyze data quality metrics and KPIs to measure the effectiveness of data quality initiatives.
• Conduct regular data quality audits and generate reports to track and communicate findings.
• Communicate data quality issues and recommendations to stakeholders effectively.
• Utilize data profiling tools and techniques to analyze data quality issues and trends.
• Perform data cleansing, validation, and enrichment activities to maintain high-quality data.
• Monitor data entry processes and ensure compliance with data quality policies.
• Collaborate with IT teams to ensure data quality requirements are met in data migration and integration projects.
• Participate in data governance initiatives and contribute to the development of data quality metrics.
• Provide training and support to team members on data quality procedures and practices.
• Stay updated on industry best practices and trends in data quality management.

• Achieved a data accuracy rate of X% across all databases.
• Reduced data errors by X% within the first six months of employment.
• Improved data completeness by X% through data validation initiatives.
• Enhanced data consistency by implementing standardized data quality controls.
• Streamlined data quality processes, resulting in X% reduction in manual data cleansing efforts.
• Increased stakeholder satisfaction by X% through enhanced data quality reporting.

• Bachelor's degree in Computer Science, Information Management, or related field.
• Proven experience as a Data Quality Analyst or in a similar role.
• Strong understanding of data quality principles, practices, and methodologies.
• Proficiency in data analysis tools and techniques.
• Experience with data profiling, data cleansing, and data validation.
• Knowledge of SQL, Excel, and data visualization tools.
• Familiarity with data governance frameworks and data quality management systems.
• Excellent attention to detail and analytical thinking ability.
• Strong communication and interpersonal skills to collaborate effectively with teams.
• Goal-oriented mindset with a focus on continuous improvement.