Public Area Attendant

Role Description The VP of Operational Analytics is a full-time remote role responsible for building and leading the analytics function that supports Flow Occupational Therapy’s strategic and operational decisions. This role oversees the design and implementation of data analytics frameworks to measure program effectiveness, client outcomes, operational efficiency, and financial performance. Day-to-day responsibilities include guiding data collection and reporting standards, developing dashboards and KPIs, and translating complex data into clear insights for leadership and cross-functional teams. The VP collaborates with clinical, operations, and finance leaders to identify opportunities for improvement, inform resource allocation, and support long-term planning. This role also involves mentoring analytics team members, ensuring data integrity and compliance, and promoting a culture of data-driven decision-making across the organization.
Qualifications
Strong analytical skills and experience leading analytics initiatives at an organizational or departmental level.
Proficiency in data analytics and analytics tools used for reporting, visualization, and performance measurement.
Working knowledge of statistics and quantitative methods for evaluating program impact and operational outcomes.
Understanding of finance and the ability to connect operational analytics to budgets, forecasts, and financial performance.
Experience in healthcare, behavioral health, or related fields, ideally with exposure to autism or neurodiversity-focused services.
Demonstrated ability to communicate complex data insights in clear, accessible language to non-technical stakeholders.
Proven leadership skills, including team development, cross-functional collaboration, and strategic planning.
Bachelor’s degree in a quantitative field such as Data Analytics, Statistics, Finance, Economics, or a related discipline; advanced degree is a plus.
Comfort working remotely, with strong organizational skills and the ability to manage multiple priorities independently.

Skills
Data Analysis

Work arrangement
No