Data Quality & Monitoring Supervisor

voala; Los Angeles (CA); On-site; USD 51,000 - 54,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement plan

Job summary

VOALA seeks a Data Monitoring Supervisor in Los Angeles to lead the data monitoring team ensuring accurate, timely data collection and reporting.

You will develop QA protocols, coordinate with program managers, and produce dashboards for internal and external stakeholders while ensuring data privacy and policy compliance.

Joining VOALA offers responsibilities in line with mission to serve vulnerable populations and improve program outcomes through rigorous data analysis.

Qualifications

• Bachelor’s degree in Data Science, Public Administration, Statistics, or a related field.
• 3 years of experience in data monitoring, analysis, or evaluation, with supervisory responsibilities.
• Ability to pass fingerprint clearance and background checks.
• Experience with HMIS, Adsystech, or Clarity is preferred.

Responsibilities

• Oversee validation, cleaning, and analysis of program and operational data.
• Coordinate with program managers to ensure data integrity and reporting compliance.
• Develop dashboards and reports for internal and external use.
• Train staff on data entry procedures and monitoring tools.
• Support audits and external reviews with data documentation.

Skills

Data analysis

Team supervision

Quality assurance

Education

Bachelor’s degree in Data Science, Public Administration, Statistics, or a related field

Tools

HMIS

Adsystech

Clarity

Job description

VOALA seeks a Data Monitoring Supervisor in Los Angeles to lead the data monitoring team ensuring accurate, timely data collection and reporting.

You will develop QA protocols, coordinate with program managers, and produce dashboards for internal and external stakeholders while ensuring data privacy and policy compliance.

Joining VOALA offers responsibilities in line with mission to serve vulnerable populations and improve program outcomes through rigorous data analysis.