Data Quality Analyst — Clearance Required

Avalore.ai; Arlington (VA); On-site; USD 85,000 - 184,000; Full time

Benefits offered by this job

Health Care Plan

401k Retirement Plan

Life Insurance

Paid Time Off

Disability Insurance

Training & Development

Employee Assistance Program

Job summary

Avalore.ai is seeking a Data Quality Analyst to monitor and improve data integrity across the Advana platform. You will implement quality tools, define metrics, and collaborate with data stewards to enforce standards.

You will also develop assessment frameworks, audits, and reports while coordinating with data owners and engineers to embed quality controls in data pipelines. Strong English and security knowledge are required.

Qualifications

• Bachelor's degree required for all levels.
• Professional proficiency in English is required.
• Certifications in security are preferred and may be required by level.

Responsibilities

• Monitor and ensure data integrity across the Advana platform.
• Implement data quality tools and processes; define quality metrics.
• Investigate and resolve data anomalies with data stewards.
• Develop data quality assessment frameworks and validation checks.
• Perform regular data quality audits and track metrics over time.
• Establish data quality monitoring and alerting mechanisms.
• Collaborate with data engineers to implement quality controls in pipelines.
• Create and maintain data quality documentation and reports.
• Participate in data governance activities and provide best-practice guidance.
• Train users on data quality principles and practices.

Skills

Data quality analysis

Stakeholder communication

Self-starter mindset

English proficiency

Education

Bachelor's Degree

Security certifications (GSEC/SSCP/Security+)

Security certifications (CCISO/CISM/CISSP/GSLC)

Tools

Microsoft Office applications

Job description

Avalore.ai is seeking a Data Quality Analyst to monitor and improve data integrity across the Advana platform. You will implement quality tools, define metrics, and collaborate with data stewards to enforce standards.

You will also develop assessment frameworks, audits, and reports while coordinating with data owners and engineers to embed quality controls in data pipelines. Strong English and security knowledge are required.