Quality Support Coordinator

Job Title: Quality Support Coordinator
Salary: $30.00 an hour
Job Status: Full time/hourly
Work Location: Chino Hills, CA
JOB SUMMARY
At Redwood Family Care Network, data is more than numbers—it is how we protect people, improve lives, and deliver world-class, person-centered services.
The Quality Support Coordinator supports the Quality Assurance department by monitoring compliance across key operational systems, including the Learning Management System (LMS) and Electronic Health Record (EHR) platforms. This role assists in ensuring organizational compliance with regulatory, training, and documentation requirements by producing compliance reports, identifying trends, and providing actionable data to support operational leadership.
The coordinator plays a key role in strengthening the organization’s quality infrastructure by translating system data into meaningful insights that support program performance, regulatory readiness, and continuous improvement initiatives.
The Quality Support Coordinator reports directly to the Senior Vice President of Quality and Strategy and works in close partnership with the Vice President of Quality Assurance and the Senior Director of Learning & Development. In addition to system monitoring and reporting, this role supports the implementation of key projects and strategic initiatives led by the Quality Assurance and Learning & Development departments.
The position assists leadership by managing LMS assignments, monitoring training completion, generating compliance dashboards, and producing trend analyses that help leadership proactively identify risks, improve operational performance, and strengthen service quality.
Redwood Family Care Network takes a ZERO tolerance stance on abuse and neglect. Any allegations will be reported to the proper authorities. We are committed to the Health and Safety of the individuals we support.

KNOWLEDGE, SKILLS and Abilities

Knowledge
• Basic knowledge of trend analysis and simple forecasting techniques used to evaluate historical data patterns.
• Familiarity with working in structured data environments using existing systems and standardized data definitions.
• General knowledge or ability to quickly adapt to reporting on quality assurance and compliance within regulated environments (healthcare, human services, or similar).
• Awareness of data confidentiality, privacy, and appropriate data handling practices.
Skills
• Skill in reviewing, validating, and reconciling data to ensure accuracy and completeness.
• Proficiency in Excel or Google Sheets, including formulas, filters, pivot tables, and data organization techniques.
• Ability to use business intelligence or reporting tools (e.g., Power BI, Tableau, Looker, or similar) to maintain and interpret dashboards.
• Skill in identifying trends, patterns, and variances within datasets and summarizing findings clearly.
• Ability to prepare consistent, repeatable reports on weekly and monthly timelines.
• Written and verbal communication skills sufficient to explain data findings to non-technical audiences.
• Organizational skills to manage multiple reporting deadlines and tasks with attention to detail.

Abilities
• Ability to work accurately within existing data platforms and systems without introducing errors or inconsistencies.
• Ability to follow established procedures and data governance standards.
• Ability to interpret data and translate findings into clear, actionable insights with guidance from leadership.
• Ability to maintain confidentiality and exercise sound judgment when handling sensitive information.
• Ability to work independently on routine tasks while collaborating effectively with Quality, Compliance, and Operations teams.
• Ability to adapt to evolving reporting requirements and priorities in a regulated environment.

Education and Experience

Education

• Bachelor’s degree in Data Analytics, Statistics, Information Systems, Business Analytics, Public Health, or a related field (or AA with equivalent experience).

• 1–3 years of experience in data analysis, reporting, quality, or administrative analytics.
• Experience working with structured datasets and recurring report

Experience

Working knowledge of data analysis methods, including:
• Trend and variance analysis
• Data validation and quality checks
• Basic forecasting or predictive techniques

Proficiency in:
• Excel or Google Sheets (intermediate to advanced)
• Business intelligence or reporting tools (e.g., Power BI, Tableau, Looker, or similar)
• Ability to interpret and explain data trends clearly to non-technical stakeholders.
• Strong attention to detail and commitment to data accuracy.
• Ability