Data Analyst

Catapult Learning is hiring a Data Analyst with 3 - 5 years of experience. Based in United States - New York, NY and with Hybrid ways of working.Job description and responsibilities:LOCATION: This position is hybrid; remote with ability to work in NYC office 2-3 days weeklyResponsibilities/Core Functions:• Lead Accounts Payable system: code, process, follow up with corporate AP to ensure timely payment• Interface with outside vendors to ensure proper submission of invoices• Communicate with field operators to utilize proper AP process and confirmation of payment• Manage all expense related documentation and tracking• Support data management and invoice creation for all funding sources• Provide suitable resources to Operations to maintain business needs• Analyze revenue and expense systems to communicate with Operators• Analyze employee productivity and provide internal processes for improved labor efficiency• Support customer facing operations and communication with external stakeholders• Handle report requests, data entry needs• Work with IT/HRIS as needed for reporting requests• Research and respond to operational/financial inquiries within established turnaround times.• Special projects and additional tasks as needed by SupervisorRequirements and qualifications:Qualifications:• 3-5 years financial management experience preferred• Bachelor’s degree in Accounting, Finance or Business Administration; MBA preferred• Strong ability with database and information systems software• Competence with data analysis• High level of initiative and leadership skills• Ability to handle complex, difficult, or escalated issues• Excellent organizational aptitude and high attention to detail• Demonstrates responsiveness/sense of urgency when dealing w/ internal/external clients• Team player with effective verbal and written communication skills• Strong analytical and problem-solving skills• Ability to multi-task and prioritize workload• Microsoft Office with intermediate Excel knowledge• Smartsheet and Power BI experience preferable