Data Quality Analyst

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

Job Overview

The Data Quality Analyst at INSPYR Solutions will play a critical role in ensuring the accuracy, consistency, and reliability of data across various platforms. This position involves analyzing data quality metrics and implementing measures to improve data integrity. The successful candidate will collaborate with cross-functional teams to develop and monitor data quality protocols and perform root cause analysis on data discrepancies. Ultimately, the Analyst will contribute to informed decision-making processes by ensuring that high-quality data is available when needed.

Job Responsibilities

• Conduct comprehensive data quality assessments to identify and resolve inconsistencies or inaccuracies.
• Create and maintain data quality metrics, dashboards, and reports for stakeholders.
• Collaborate with IT and business units to establish data quality standards and procedures.
• Perform data cleansing and validation processes to ensure data integrity.
• Analyze data errors and implement corrective actions to mitigate future discrepancies.
• Assist in the design of automated data quality monitoring systems.
• Train and support team members in data quality best practices.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field.
• Minimum of 2 years of experience in data analysis or data quality roles.
• Proficiency in data management tools and techniques, including SQL and data visualization software.
• Strong analytical skills with the ability to interpret complex data sets.
• Excellent attention to detail and problem-solving abilities.
• Ability to communicate effectively with diverse teams and stakeholders.

Technologies & Tools

The Data Quality Analyst will utilize a variety of technologies and tools to support their work. Key tools include SQL for querying databases, data visualization platforms like Tableau or Power BI for creating dashboards, and data profiling tools for assessing data quality. Familiarity with ETL (Extract, Transform, Load) processes and data governance frameworks is also beneficial in ensuring high data integrity.

Ideal Candidates

Ideal candidates for the Data Quality Analyst position are detail-oriented individuals with a strong analytical mindset and a passion for data integrity. They should possess excellent communication and collaboration skills, enabling them to work effectively with cross-functional teams. A proactive approach to problem-solving and an ability to adapt to changing environments will further contribute to their success in this role. Moreover, a continuous learning attitude towards new technologies and methodologies in data analysis is highly desirable.