4MATIV Technologies

Data Analyst

• Lead the billing verification process, reconciling vendor invoices against internal service data to identify discrepancies and ensure accurate billing
• Maintain and refine tools or processes for invoice tracking, vendor performance monitoring, and reporting
• Collaborate with internal teams to resolve discrepancies and ensure timely communication with vendors and clients
• Support the development and automation of systems that streamline vendor management and billing accuracy
• Contribute to analyses that identify trends, cost drivers, and opportunities for operational efficiencies
• Prepare clear, data-driven summaries and presentations for internal and client stakeholders
• Participate in broader vendor management functions, including contract compliance and service quality monitoring

Data Analyst, District Partnerships

Account Manager

• Manage the relationship and daily communications with the operational staff at your assigned schools as their primary point of contact.
• Uncover your school’s needs, wants, service parameters and goals and work with operations and account directors, safety, routing and product teams.
• Monitor regular operational performance and services to your schools to ensure all needs are met and the school is receiving top quality support and results.
• Ensure TOMS system is properly configured for your client schools and support TOMS training.
• Oversee communication, problem-solving, and service design, working with various internal teams to meet client needs and exceed expectations.
• Monitor operational performance, addressing service changes, and ensuring the effective configuration and training of the TOMS system.

• Role: Data Analyst, Client Services at 4MATIV Technologies, which manages multi-modal mobility for school systems nationwide.
• Responsibilities include descriptive analysis of student transportation system performance and configuration, geospatial analysis and visualization of students/schools/terminals, estimation of impact of changes to system configuration and optimization (costs, efficiency, emissions), and data pipelining.
• Use of Python scripts to automate processes and conduct data analysis; GIS software for maps and geospatial insights.
• Client-facing and internal deliverables including reports and dashboards; contribute to data governance and documentation.
• Lead projects, collaborate with stakeholders, ensure timely delivery, and continuously improve processes.