Cotiviti

Application Engineer

• Develop, test, modify, and support deployment of assigned software applications and integrations
• Apply established integration patterns, coding standards, security requirements, and architectural guidelines
• Use approved AI development tools for coding, testing, documentation, and troubleshooting
• Develop working knowledge of back-office ERP, finance systems, and related business processes
• Review and clarify technical requirements with business partners and senior technical team members
• Prepare functional specifications, technical documentation, test plans, and implementation materials
• Investigate and resolve moderately complex application and integration issues
• Escalate novel, high-risk, or architecture-related issues to senior engineers or technical leadership
• Follow change-control procedures and coordinate testing and implementation with business and IT teams
• Prepare and maintain technical documentation, user instructions, and training materials
• Organize assigned work across multiple projects and communicate progress, risks, and dependencies to project and technical leads
• Complete special projects and other assigned duties

Application Integration Engineer

Support Engineer

• Monitor, analyze, and resolve data platform, configuration, infrastructure, application, and product-related issues
• Serve as liaison between technical and operations teams and support business stakeholders
• Work directly with clients and management during production events
• Escalate issues as needed while communicating status and risks
• Produce after-outage documentation
• Coordinate troubleshooting across data operations, development, infrastructure, and management teams
• Manage technical and data operations meetings
• Prioritize and route reported issues based on business impact
• Document and improve production support processes
• Expand the knowledge base of system problems and resolutions
• Share peer knowledge and provide training
• Help data operations team members create incident and change request tickets
• Interface with engineering, infrastructure, database administration, implementation, and configuration management teams
• Follow up on outstanding tickets and root cause analyses
• Confirm permanent resolution status
• Generate daily status update reports for business stakeholders and leadership
• Complete annual performance plan responsibilities and assigned special projects

Support Analyst

Data Engineer

• Create, maintain and execute basic to intermediate SQL scripts for data management and data validation
• Optimize queries to improve the efficiency of daily tasks
• Perform data analysis and identify issues
• Work with Engineering, DBA and other groups to troubleshoot and resolve environmental or network issues
• Extend support to after-hours or weekends as needed
• Create and maintain dashboards as needed
• Validate task results to ensure all requirements are met
• Adhere to industry-level and organization-level compliance rules and regulations to maintain data integrity
• Complete individual productivity tracking
• Complete task assignments using the department ticketing system within assigned deadlines
• Achieve organizational and individual goals identified in performance reviews and goal-setting exercises
• Complete special projects and other assigned duties

Data Engineer – Operations Focus

• Create, maintain, and execute intermediate to advanced Spark scripts for data management, validation, and integration
• Create, maintain, and execute basic to intermediate SQL scripts for data management and validation
• Optimize queries to improve the efficiency of daily tasks
• Perform data analysis and identify issues
• Collaborate with Engineering, DBA, Cloud Ops, and other groups to troubleshoot and resolve environmental or network issues
• Provide after-hours or weekend support as needed
• Create and maintain data pipelines
• Validate task results to ensure requirements are met
• Adhere to industry and organizational compliance rules and regulations to maintain data integrity
• Complete individual productivity tracking
• Complete task assignments in the department ticketing system within assigned deadlines
• Achieve organizational and individual goals identified in performance reviews and goal-setting exercises
• Complete special projects and other assigned duties

Data Engineer – AI

Analyst

• Own month-end revenue validation controls, including reconciliation of outputs, exceptions, adjustments, open inventory, and close support schedules
• Investigate missed, delayed, misstated, or incorrectly billed revenue using paid claim transactional data, invoice detail, contractual terms, and internal financial records
• Compare disparate data sources to uncover and apply missed revenue opportunities
• Perform and oversee reconciliation of client self-billing files, including data transformation, loading, quality verification, exception analysis, and final invoice support
• Review invoicing accuracy and contract alignment; apply non-standard contractual pricing and resolve discrepancies, disputes, and fee paybacks
• Support appropriate closure of inventory
• Analyze period-over-period movement, inventory aging, throughput, financial data, and other financial variances
• Identify root causes of financial underperformance and communicate findings, revenue impact, options, and corrective actions
• Lead invoice-detail questions and escalations with internal and external stakeholders
• Prepare facts and resolution recommendations for complex client issues
• Develop recurring reports, dashboards, forecasts, and insights monitoring KPI and SLA performance, revenue risk, service delivery, and financial accuracy
• Partner with Finance, Operations, Technology, and Engineering to reconcile inventory and correct invoicing or revenue application system and process issues
• Use Power BI, automation, and agentic tools to improve analytical quality, control effectiveness, cycle time, and operating efficiency
• Mentor junior analysts and establish consistent approaches for reconciliations, investigations, documentation, and escalation
• Complete annual performance-review/goal-setting responsibilities and special projects or other assigned duties

Senior Revenue Integrity Analyst

Financial Planning and Analysis

• Set the vision and multi-year strategy for Finance Data & Analytics across financial and business data, analytics, reporting, automation, and artificial intelligence
• Measure progress against clear success metrics
• Serve as a strategic partner across FP&A, Finance, business units, enterprise functions, Technology and Data teams, and executive leadership
• Connect financial, commercial, customer, and operational data into an integrated view of enterprise performance
• Translate data into insights, risks, opportunities, and recommendations for senior leaders
• Build a trusted, governed data foundation with Technology and Data
• Modernize management reporting and business intelligence using Power BI, dashboards, self-service analytics, and driver-based insights
• Integrate CRM and commercial information to improve visibility into pipeline, bookings, revenue, retention, and profitability
• Develop and execute a roadmap for AI, advanced analytics, and automation in forecasting, variance analysis, reporting, scenario modeling, and anomaly detection
• Build, develop, and inspire a high-performing Finance Data & Analytics organization
• Establish an operating model and talent capabilities supporting accountability, collaboration, and continuous improvement
• Improve forecasting, performance management, and KPI reporting with business and functional leaders
• Establish trusted, consistently defined enterprise metrics
• Lead adoption of new technologies and ways of working
• Build stakeholder alignment for sustained improvements in decision-making
• Hire, develop, coach, lead, and retain top-tier talent
• Complete annual performance review or goal-setting responsibilities and assigned special projects

VP Finance, Data and Analytics

Business Analyst

• Research technologies and use cases for Cotiviti solutions
• Report to the Director of Health Tech Research
• Work on Technical Prospecting within the Research and Development department
• Conduct business analysis of company solutions, products, services, and platforms
• Research the strengths, weaknesses, opportunities, and threats of targeted technologies
• Write technical and business white papers and use cases
• Conduct exploratory development, configuration, and engineering of prototype and proof-of-concept technologies
• Present project findings and proposals

Intern – Technology Solutions Analyst

• Research technologies and use cases for Cotiviti solutions
• Report to the Director of Health Tech Research
• Work on Technical Prospecting within the Research and Development department
• Perform business analysis of company solutions, products, services, and platforms
• Research strengths, weaknesses, opportunities, and threats of targeted technologies
• Write technical and business white papers and use cases
• Conduct exploratory development, configuration, and engineering of prototype and POC technologies
• Present project findings and proposals