Quality Improvement/ Business Intelligence Analyst

cmcs

Town of Mount Pleasant (NY)

On-site

USD 90,000 - 120,000

Full time

5 days ago
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Job summary

CMCS (Cardinal McCloskey Community Services) in New York seeks a Quality Improvement/Business Intelligence Analyst to manage QI processes for preventive services and other programs. You will analyze data from dashboards and surveys, collaborate with leadership on improvement plans, and support external partnerships including ACS and OCFS.

Responsibilities include conducting program reviews, maintaining review schedules, and enhancing data tools (Power BI and Fabric) for aggregation and insight.

Qualifications

  • Bachelor's degree in Social Work, BI, Data Analytics or related field with QI experience.
  • Experience with continuous quality improvement methods.
  • Advanced knowledge of Microsoft 365 including Power BI and Fabric Platform.
  • Familiar with administrative databases for data analysis.
  • Background in NYC child welfare programs and policies.
  • Familiarity with PROMIS and CONNECTIONS systems of record.
  • Strong analytic, written and verbal communication skills.
  • Team player who collaborates with agency and external staff.
  • Self-motivated, organized and able to work independently.

Responsibilities

  • Manage the ongoing QI processes for preventive services and other CMCS programs.
  • Plan and facilitate monthly QI committee meetings and analyze data from dashboards and surveys.
  • Collaborate with program leadership to create internal improvement plans with external partners.
  • Participate in external meetings and workgroups related to accountability and quality.
  • Design and administer annual stakeholder surveys and provide actionable insights.
  • Oversee case review processes across programs, analyze results, and share trends with leadership.
  • Maintain review schedules and develop review tools compatible with Power BI.
  • Develop and maintain BI systems, including data transformations, dashboards and reports.
  • Assist in implementing the Microsoft Fabric platform.

Skills

Quality Improvement experience
Analytical skills
Written and verbal communication
Team player
Independent worker

Education

Bachelor's degree in Social Work, Business Intelligence, Data Analytics, or related field

Tools

Power BI
Fabric Platform
Microsoft 365
PROMIS
CONNECTIONS

Job description

Join a Team Where Your Work Truly Makes a Difference!

Safe Children, Stable Families, Successful Lives

At CMCS (Cardinal McCloskey Community Services), our mission is to protect, empower, and promote independence for at-risk children, families, and individuals with developmental disabilities through high-quality, community-based services.

We're looking for a dedicated Quality Improvement/Business Intelligence Analyst to join our team!

Manage the continuous QI processes for preventive services and other programs, including:

  • Plan and facilitate monthly QI committee meetings.
  • Identify program strengths and challenges through quantitative and qualitative data analysis. This includes reviewing internal and external dashboards/reports, results of case reviews, and client survey results.
  • In collaboration with program leadership, create and implement internal program improvement plans, and improvement plans created with external partners including ACS and OCFS.
  • Participate in external meetings and workgroups, including the COFCCA Preventive Accountability meeting.
  • Design and administer yearly surveys for key stakeholders in CMCS, for both the preventive and foster care programs, and provide analysis and insight on the results of the surveys.

Assist with management of case review processes across multiple programs, including:

  • Conduct reviews, aggregate, analyze, and share results including highlighting trends, strengths, and challenges with program leadership according to the schedule, with support from other QI staff as appropriate.
  • Ensure schedule of reviews is maintained and implemented.
  • Assist with creation and management review tools, ensuring compatibility with existing framework (Power BI) for aggregation of results.
  • Write and update review questions, ensuring that the answers lead to actionable insight.

Contribute to the development and maintenance of QI business intelligence systems, including:

  • Running data export/import processes.
  • Create/maintain/update data transformation processes, databases, dashboards, and reports.
  • Assist in the implementation of Microsoft Fabric platform.
General Responsibilities
  • Connections and ACS Remote Access Security Officer/myEvolv user administrator - Maintain user accounts for staff members in Connections, ACS Remote Access, myEvolv, and other systems.
  • Maintain client enrollment and demographic information in internal systems of record.
  • Maintain understanding of COA standards related to both QI and relevant program operations, and support periodic review of and alignment with COA, in support of CMCS accreditation status.
  • Participate in program-specific employee onboarding meetings with new staff.
  • Assist and support program staff in integrating data in decision-making.
  • Assist with the development and review of business processes and policies.
  • Develop methods to measure outcomes for families and children.
  • Additional duties as needed.
Qualifications
  • Bachelor's degree in Social Work, Business Intelligence, Data Analytics, or a related field, with a minimum of one year of Quality Improvement (QI) experience.
  • Experience with continuous quality improvement methods.
  • Advanced knowledge of Microsoft 365 platform, including Power Bi and Fabric Platform.
  • Familiar with use of administrative databases in data analysis.
  • Background in NYC child welfare programs and policies.
  • Familiarity with PROMIS, CONNECTIONS, and related NYS and NYC systems of record.
  • Strong analytic, written, and verbal communication skills.
  • Team player who enjoys collaboration with agency and external staff.
  • Self-motivated, organized, and able to work independently.
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