Apprentices progress at their own pace – they demonstrate
competency in skills and knowledge through assessment tests,
but are not required to complete a specific number of hours.
competency in skills and knowledge through assessment tests,
but are not required to complete a specific number of hours.
Data Coordinator (2099CB V1) Competency-Based
Legacy Foundation Corporation- Life Skills Training Academy
Registered 2025
California (OA)
Documents
View Original Document
Individual state requirements may vary. Please contact your local apprenticeship office to ensure this version is suitable to your state’s requirements.
Work Process Content
On the Job Training
Anonymous
102
Skills
Client Interaction & Intake Management
Core Purpose:
Ensure seamless, professional communication between clients, families, and staff while maintaining accurate intake records.
7
Client Interaction & Intake Management
Core Purpose:
Ensure seamless, professional communication between clients, families, and staff while maintaining accurate intake records.
7
- Answer, triage, and document high-volume phone calls and emails from clients and program partners.
- Manage and route inquiries to the correct department (LES, Housing Coordinators, Program Admin).
- Coordinate the intake process — collecting necessary documentation, verifying eligibility, and entering data into the system.
- Maintain accurate records of all communications in alignment with confidentiality and HIPAA standards.
- Provide information about the Assisted Living Waiver Program, its requirements, and next steps to families and applicants.
- Follow up with clients or representatives to ensure completion of outstanding forms or missing documentation.
- Manage the toll-free inbox and ensure all messages are addressed or appropriately escalated within defined timeframes.
Data Accuracy, Entry, and Maintenance
Core Purpose:
Safeguard the accuracy, completeness, and timeliness of participant and program data across systems.
9
Data Accuracy, Entry, and Maintenance
Core Purpose:
Safeguard the accuracy, completeness, and timeliness of participant and program data across systems.
9
- Audit Monthly Summary Visits (MSVs) for accuracy
- update the MSV Tracker and communicate discrepancies promptly.
- Review participant data entries for errors or missing fields
- initiate corrections through Apricot or designated systems.
- Maintain a consistent filing structure for both digital and physical records.
- Reconcile participant and facility data to ensure accuracy between billing, licensing, and compliance databases.
- Verify facility details, including name, contact, and extensions, to support accurate recordkeeping and billing.
- Utilize Excel formulas, filters, and pivot tables for data analysis and trend tracking.
- Conduct periodic data integrity checks and document correction logs for audit readiness.
Compliance, Licensing & Regulatory Support
Core Purpose:
Maintain compliance with local and state regulations by ensuring accurate, timely tracking of citations, licensing, and reporting.
7
Compliance, Licensing & Regulatory Support
Core Purpose:
Maintain compliance with local and state regulations by ensuring accurate, timely tracking of citations, licensing, and reporting.
7
- Register all participating facilities in Community Care Licensing’s portal.
- Monitor and record incoming licensing notices, citations, or complaints.
- Forward compliance or citation reports to the assigned Case Managers and leadership team with appropriate notes.
- Track corrective actions, resolutions, and response deadlines for any compliance-related issues.
- Maintain organized compliance files to support internal and external audits.
- Ensure program documents meet ALWP and Medi-Cal standards for eligibility and reporting.
- Stay informed of regulatory updates that may affect the Assisted Living Waiver Program.
Reporting & Documentation
Core Purpose:
Ensure consistent, organized, and accurate documentation and reporting for operational transparency and audit preparedness.
6
Reporting & Documentation
Core Purpose:
Ensure consistent, organized, and accurate documentation and reporting for operational transparency and audit preparedness.
6
- Generate monthly E-Check reports (minimum 200 per cycle) and confirm successful uploads.
- Archive all reports in a structured, retrievable format.
- Maintain logs of discrepancies, data corrections, and report submissions.
- Assist with audit preparation by providing requested data and summaries.
- Create progress tracking sheets for participant activity, reassessments, and data submissions.
- Support leadership by preparing data-driven summaries or visual reports as needed.
Financial & Billing Data Reconciliation
Core Purpose:
Support billing accuracy and ensure all facility and participant data align with financial records.
4
Financial & Billing Data Reconciliation
Core Purpose:
Support billing accuracy and ensure all facility and participant data align with financial records.
4
- Cross-check internal data with billing reports to identify inconsistencies.
- Confirm that participant and facility identifiers are aligned with payment submissions.
- Assist with month-end reconciliations and documentation reviews.
- Maintain confidentiality of all financial data in compliance with organizational policy.
Cross-Functional & Team Collaboration
Core Purpose:
Facilitate smooth coordination and support process efficiency across the Assisted Living Waiver (ALW) team.
6
Cross-Functional & Team Collaboration
Core Purpose:
Facilitate smooth coordination and support process efficiency across the Assisted Living Waiver (ALW) team.
6
- Assist with preparing Reassessment (RA) packets and scheduling participant evaluations.
- Provide cross-training to new staff on data systems and workflow procedures.
- Collaborate with the Program & Systems Administrator on continuous process improvement.
- Share data insights to inform management decisions and enhance operational workflows.
- Attend team meetings and contribute updates on reporting progress and data corrections.
- Maintain professional communication across all departments to support efficiency and compliance.
Continuous Quality Improvement & Professional Conduct
Core Purpose:
Promote accuracy, integrity, and ongoing improvement within data and program operations.
5
Continuous Quality Improvement & Professional Conduct
Core Purpose:
Promote accuracy, integrity, and ongoing improvement within data and program operations.
5
- Identify opportunities for improving workflow efficiency and data accuracy.
- Stay updated on all changes to the All Hours Adult Care website and internal systems.
- Adhere to confidentiality, data privacy, and ethical standards in all communications and data handling.
- Demonstrate professionalism, tact, and empathy in all client and team interactions.
- Participate in professional development opportunities to enhance technical and analytical skills.
Determine appropriate methods for data analysis.
4
Determine appropriate methods for data analysis.
4
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Plan data collection methods for specific projects and determine the types and sizes of sample groups to be used.
- Apply sampling techniques or use complete enumeration bases to determine and define groups to be surveyed.
Analyze data to identify trends or relationships among variables.
2
Analyze data to identify trends or relationships among variables.
2
- Identify relationships and trends in data, as well as any factors that could affect the results of research.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
Evaluate project designs to determine adequacy or feasibility.
1
Evaluate project designs to determine adequacy or feasibility.
1
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
Prepare analytical reports.
2
Prepare analytical reports.
2
- Report results of statistical analyses in peer-reviewed papers and technical manuals.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
Evaluate technical data to determine effect on designs or plans.
1
Evaluate technical data to determine effect on designs or plans.
1
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
Prepare graphics or other visual representations of information.
1
Prepare graphics or other visual representations of information.
1
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
Evaluate data quality.
2
Evaluate data quality.
2
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
- Evaluate sources of information to determine any limitations, in terms of reliability or usability.
Prepare data for analysis.
2
Prepare data for analysis.
2
- Process large amounts of data for statistical modeling and graphic analysis, using computers.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
Design research studies to obtain scientific information.
3
Design research studies to obtain scientific information.
3
- Plan data collection methods for specific projects and determine the types and sizes of sample groups to be used.
- Design research projects that apply valid scientific techniques and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.
- Develop and test experimental designs, sampling techniques, and analytical methods.
Present research results to others.
2
Present research results to others.
2
- Report results of statistical analyses in peer-reviewed papers and technical manuals.
- Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.
Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields.
1
Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields.
1
- Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
Design software applications.
1
Design software applications.
1
- Develop software applications or programming to use for statistical modeling and graphic analysis.
Update knowledge about emerging industry or technology trends.
1
Update knowledge about emerging industry or technology trends.
1
- Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.
Implement security measures for computer or information systems.
1
Implement security measures for computer or information systems.
1
- Prepare and structure data warehouses for storing data.
Install computer software.
1
Install computer software.
1
- Prepare and structure data warehouses for storing data.
Write computer programming code.
1
Write computer programming code.
1
- Prepare and structure data warehouses for storing data.
Supervise information technology personnel.
1
Supervise information technology personnel.
1
- Supervise and provide instructions for workers collecting and tabulating data.
Data Collection & Entry:
Collect, compile, and enter accurate data from multiple sources into databases or management systems, verify completeness and accuracy of all entries, and maintain timely updates to reflect real-time changes in records and reporting.
6
Data Collection & Entry:
Collect, compile, and enter accurate data from multiple sources into databases or management systems, verify completeness and accuracy of all entries, and maintain timely updates to reflect real-time changes in records and reporting.
6
- Collect data from internal and external sources (forms, reports, spreadsheets, surveys).
- Enter data into databases, CRMs, or spreadsheets following standardized formats.
- Cross-check information against source documents to identify errors or discrepancies.
- Update records daily or as required to maintain accuracy.
- Maintain a log of entries for audit purposes.
- Flag missing or inconsistent data and communicate to supervisors for resolution.
Data Quality & Validation:
Monitor data for accuracy, consistency, and reliability across systems; perform routine audits and error checks to maintain data integrity; and implement corrective actions and SOPs to address and prevent data quality issues.
5
Data Quality & Validation:
Monitor data for accuracy, consistency, and reliability across systems; perform routine audits and error checks to maintain data integrity; and implement corrective actions and SOPs to address and prevent data quality issues.
5
- Run validation checks using database tools or software (e.g., Excel functions, SQL queries).
- Compare new entries against historical records for consistency.
- Identify and correct errors in real-time or escalate unresolved issues.
- Document patterns of recurring errors and suggest process improvements.
- Create reports summarizing data quality findings for management review.
Data Analysis & Reporting:
Convert raw data into actionable insights through reports, visualizations, and summaries; prepare internal and external reports per organizational or regulatory requirements; and support decision-making with accurate, timely data analysis and interpretations.
5
Data Analysis & Reporting:
Convert raw data into actionable insights through reports, visualizations, and summaries; prepare internal and external reports per organizational or regulatory requirements; and support decision-making with accurate, timely data analysis and interpretations.
5
- Generate weekly, monthly, or quarterly reports on key metrics.
- Use data visualization tools to present findings clearly.
- Summarize trends, anomalies, and performance indicators for management.
- Assist in the creation of dashboards to track ongoing operations or projects.
- Collaborate with departments to ensure data aligns with business objectives.
Database Management & Maintenance:
Maintain, update, and organize databases for smooth operation and accessibility; implement data security protocols and manage access to sensitive information; and support system upgrades while troubleshooting database issues as needed.
5
Database Management & Maintenance:
Maintain, update, and organize databases for smooth operation and accessibility; implement data security protocols and manage access to sensitive information; and support system upgrades while troubleshooting database issues as needed.
5
- Back up databases regularly to prevent data loss.
- Archive outdated or inactive records following retention policies.
- Monitor user access and permissions to maintain security compliance.
- Test and troubleshoot database functions and workflows.
- Collaborate with IT or system administrators on upgrades or system improvements.
Communication & Collaboration:
Act as a liaison between departments to ensure timely, accurate data flow; communicate findings and updates to management and stakeholders; and collaborate with team members to streamline processes and improve efficiency.
5
Communication & Collaboration:
Act as a liaison between departments to ensure timely, accurate data flow; communicate findings and updates to management and stakeholders; and collaborate with team members to streamline processes and improve efficiency.
5
- Attend team meetings and provide data status updates.
- Respond to inquiries regarding data accuracy, availability, or reporting.
- Document processes and create guides for team reference.
- Share insights to support cross-functional decision-making.
- Recommend workflow improvements to enhance data coordination and collaboration.
Compliance & Confidentiality:
Ensure data practices comply with policies, regulations, and privacy laws; maintain confidentiality of sensitive information; and stay updated on relevant regulations and data management best practices.
5
Compliance & Confidentiality:
Ensure data practices comply with policies, regulations, and privacy laws; maintain confidentiality of sensitive information; and stay updated on relevant regulations and data management best practices.
5
- Adhere to HIPAA, GDPR, or other applicable regulations depending on data type.
- Limit access to confidential information to authorized personnel only.
- Implement data security measures, such as encryption or secure file storage.
- Monitor compliance with data retention and deletion policies.
- Participate in audits or inspections as required.
Related Instruction Content
Training Provider(s):