Data Quality Analyst

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Written by AI from the job title and company, not by ALOIS 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 ALOIS Solutions plays a pivotal role in ensuring the accuracy, integrity, and consistency of our data. This position involves performing data quality assessments, developing data cleansing processes, and collaborating with cross-functional teams to build data governance standards. The successful candidate will identify data quality issues and work towards implementing corrective actions, thereby enhancing overall data management processes and enabling optimal decision-making across the organization.

Job Responsibilities

• Conduct comprehensive data quality assessments and audits to identify discrepancies and areas for improvement.
• Develop and implement data cleansing and transformation processes to enhance data integrity.
• Collaborate with IT and business units to establish data governance policies and procedures.
• Monitor and report on data quality metrics, providing insights to management on the overall data health.
• Create and maintain documentation on data quality processes and standards.
• Assist with training and guiding staff on data quality best practices.
• Participate in data migration projects and assess the quality of incoming data.
• Utilize data visualization tools to present data quality findings effectively.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in data quality analysis or data management.
• Proficiency in data profiling and data cleansing methodologies.
• Experience with SQL and database management systems.
• Familiarity with data visualization tools such as Tableau or Power BI is a plus.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills, both verbal and written.
• Ability to work collaboratively in a team environment and independently when needed.

Technologies & Tools

The Data Quality Analyst will utilize various technologies and tools to perform their duties efficiently. Key tools include SQL for data querying and manipulation, data profiling tools for assessing data quality, and data visualization software such as Tableau or Power BI to present findings. Additionally, the analyst may employ Python or R for data analysis and scripting tasks, alongside data governance frameworks to uphold data standards within the organization.

Ideal Candidates

Ideal candidates for the Data Quality Analyst position at ALOIS Solutions possess a strong analytical mindset, with a keen eye for identifying inconsistencies within data sets. They exhibit a proactive approach towards problem-solving and consistently seek innovative methods to improve data management processes. Excellent communication abilities are essential, as the role requires effective collaboration with various teams. A commitment to upholding data integrity and a passion for continuous learning and improvement are traits that will ensure success in this role.