This is a remote position.
Scanning Solutions is seeking a detail-oriented Data Quality Analyst to support the accuracy, consistency, completeness, and reliability of business data across company systems. The Data Quality Analyst will review and validate information, identify discrepancies, investigate data-quality issues, and work with internal teams to maintain reliable and accurate records.
The ideal candidate is analytical, organized, and comfortable working with spreadsheets, databases, and business software. This position requires strong attention to detail and the ability to identify data issues while meeting established deadlines.
Key Responsibilities:
* Review and validate data for accuracy, completeness, and consistency.
* Identify duplicate, incomplete, outdated, or inconsistent records.
* Investigate discrepancies and determine appropriate corrections.
* Perform routine data-quality checks and validation activities.
* Compare information across systems and source records.
* Document data-quality findings, corrections, and recurring issues.
* Work with internal teams to investigate and resolve data discrepancies.
* Assist with data-cleanup and validation projects.
* Prepare reports and summaries related to data-quality findings.
* Monitor recurring data issues and recommend process improvements.
* Follow established data-management, security, and confidentiality procedures.
* Maintain accurate documentation of data-quality processes.
Requirements
* High school diploma or equivalent required.
* Bachelor’s degree in data analytics, information systems, business, computer science, or a related field preferred.
* Previous experience in data analysis, quality assurance, data management, reporting, or a related field preferred.
* Strong attention to detail and commitment to accuracy.
* Strong analytical and problem-solving abilities.
* Ability to work with spreadsheets, databases, and business software.
* Ability to identify patterns, inconsistencies, and potential data issues.
* Strong written and verbal communication skills.
* Excellent organizational and time-management skills.
* Ability to work independently and collaborate effectively with internal teams.
* Reliable internet connection and an appropriate remote workspace.
Benefits
* Competitive compensation.
* Fully remote work environment.
* Structured training and onboarding.
* Professional and technical development opportunities.
* Collaborative and supportive work environment.
* Opportunities to gain experience with business technology and data-management systems.
* Additional company benefits may be available based on eligibility and employment status.