Data Quality Analyst

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

Job Overview

The Data Quality Analyst at GroupA will play a critical role in ensuring the accuracy, integrity, and reliability of our data assets. This position involves analyzing data quality issues, implementing data cleansing and validation processes, and developing data quality metrics and reports. The analyst will collaborate with cross-functional teams to establish best practices for data management, ultimately enhancing the decision-making capabilities of the organization. Regular monitoring of data quality will be required, along with the identification of opportunities for continuous improvement in data processes.

Job Responsibilities

• Conduct comprehensive data quality assessments to identify and resolve discrepancies in data sets.
• Establish and maintain data quality metrics and reporting tools to track performance and improvement initiatives.
• Implement data cleansing processes to enhance the accuracy and completeness of data records.
• Collaborate with IT and business teams to define data quality standards, guidelines, and best practices.
• Support the development and execution of data quality improvement projects and initiatives.
• Monitor data entry processes to ensure compliance with established quality policies and procedures.
• Provide training and support to staff on data quality practices and tools.
• Prepare detailed reports and presentations on data quality findings and recommendations.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in data quality analysis, data management, or a related role.
• Proficient in data quality tools and software, such as Talend, Informatica, or equivalent.
• Strong knowledge of data management principles, frameworks, and technologies.
• Experience with SQL and data querying languages to analyze large data sets.
• Excellent analytical skills, with a keen attention to detail and a problem-solving mindset.
• Strong written and verbal communication skills, with the ability to present complex information clearly.

Technologies & Tools

The Data Quality Analyst will utilize a variety of technologies and tools to execute their responsibilities effectively. This includes data integration tools like Talend and Informatica for data cleansing and transformation, SQL for querying databases, and advanced analytical software such as Tableau or Power BI for data visualization and reporting. Familiarity with programming languages such as Python or R for data analysis may also be beneficial in this role.

Ideal Candidates

The ideal candidate for the Data Quality Analyst position at GroupA will possess a meticulous attention to detail, along with a strong analytical mindset that enables them to uncover issues and derive actionable insights. They should be collaborative and effective communicators, capable of working with varied teams to promote data quality best practices. A proactive approach to problem-solving, coupled with a passion for data integrity and continuous improvement, is essential for success in this role. An ability to adapt in a fast-paced environment, along with a commitment to maintaining high-quality standards in all data operations, is also crucial.