Data Quality Analyst

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

Job Overview

The Data Quality Analyst at FinThrive will play a vital role in ensuring the integrity, accuracy, and reliability of the organization's data assets. This position involves analyzing, defining, and implementing data quality processes and metrics, as well as engaging with cross-functional teams to ensure that data management and governance practices align with business objectives. The successful candidate will be responsible for identifying data quality issues and collaborating with stakeholders to devise effective solutions to enhance overall data quality across the organization.

Job Responsibilities

• Analyze data sets to identify trends, anomalies, and data quality issues.
• Define and implement data quality metrics to measure data accuracy and reliability.
• Collaborate with database administrators and other IT staff to ensure data integrity and security.
• Develop and maintain data cleansing processes to improve overall data quality.
• Create and maintain documentation related to data quality procedures and standards.
• Engage with business stakeholders to understand data requirements and implement solutions.
• Conduct regular data audits and assessments to ensure compliance with quality standards.
• Provide training and support to team members on data quality best practices.

Qualifications

• Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field.
• 3+ years of experience in data quality assurance, data analysis, or similar roles.
• Proficient in data analysis tools and techniques, with experience in SQL preferred.
• Familiarity with data governance frameworks and data management practices.
• Solid understanding of relational database systems and data warehouse architecture.
• Excellent analytical and problem-solving skills, with a detail-oriented mindset.
• Strong communication skills to effectively collaborate with diverse teams.

Technologies & Tools

The Data Quality Analyst role will utilize a range of technologies and tools including SQL for data manipulation, data visualization software such as Tableau or Power BI, and data governance platforms. Familiarity with ETL (Extract, Transform, Load) tools and experience in programming languages such as Python or R for data analysis may also be beneficial in this position.

Ideal Candidates

Ideal candidates for the Data Quality Analyst position at FinThrive will possess strong analytical skills and a keen eye for detail, demonstrating a proactive approach to problem-solving. They should exhibit excellent communication abilities, enabling effective collaboration across various teams. Furthermore, candidates should be adaptable, willing to learn, and able to thrive in a fast-paced environment. A genuine passion for data quality and a commitment to continuous improvement will be key characteristics that distinguish successful applicants.