Provox Global is seeking a Data Analytics & Dashboard Engineer to build comprehensive monitoring and analytics solutions for our AI-powered conversational platform. This role will work closely with our Lead AI Engineer to create real-time dashboards that track system health, performance metrics, and key business indicators across our healthcare AI voice and chat interfaces.

Key Responsibilities

Dashboard Development & Business Intelligence

• Design and build executive-level dashboards for system performance and business KPIs
• Create real-time monitoring solutions for conversational AI system health
• Develop automated reporting for calls handled, appointments generated, conversion rates, and customer satisfaction metrics
• Build interactive visualizations for stakeholder consumption across different organizational levels
• Implement alerting systems for critical performance thresholds and business metric anomalies

Data Pipeline & ETL Management

• Design and maintain ETL processes from multiple data sources (DialogFlow CX, Cloud Functions, telephony systems, healthcare integrations)
• Build data pipelines connecting conversational AI logs, appointment systems, and business outcomes
• Ensure data quality, consistency, and reliability across all reporting systems
• Optimize data storage and retrieval for high-volume conversational data
• Implement data governance practices and documentation standards

System Health Monitoring

• Create comprehensive system health dashboards tracking DialogFlow CX performance, Cloud Function execution, and integration uptime
• Monitor conversation success rates, user drop-off points, and technical failure patterns
• Build alerting for system anomalies, API failures, and performance degradation
• Track resource utilization, response times, and cost optimization opportunities
• Develop predictive analytics for capacity planning and system scaling

Healthcare-Specific Analytics

• Track appointment booking success rates and conversion funnels
• Monitor patient engagement metrics and conversation completion rates
• Analyze call patterns, peak usage times, and seasonal trends
• Build reporting for healthcare practice efficiency metrics
• Create compliance reporting for audit and regulatory requirements

Collaboration & Integration Support

• Work with Lead AI Engineer to instrument code for proper data collection
• Partner with business stakeholders to define and refine KPI measurements
• Support data-driven decision making through ad-hoc analysis and insights
• Provide training and support for dashboard users across the organization

Required Qualifications

Technical Skills

• 3+ years experience with business intelligence and dashboard tools (Power BI, Tableau, Looker, or similar)
• Strong SQL skills with experience in MySQL and data warehouse technologies
• ETL/ELT development experience with cloud-based data pipelines
• Data visualization expertise with focus on executive-level reporting
• Google Cloud Platform experience, particularly BigQuery, Cloud Functions, and monitoring tools
• Programming skills in Python or R for data analysis and automation
• API integration experience for data collection from multiple sources

Analytics & Business Intelligence

• Experience building KPI frameworks and metric definitions
• Understanding of statistical analysis and data interpretation
• Knowledge of data modeling and warehouse design principles
• Familiarity with real-time monitoring and alerting systems
• Experience with A/B testing and experimental design methodologies

Communication & Collaboration

• Ability to translate business requirements into technical dashboard solutions
• Strong presentation skills for executive and stakeholder reporting
• Experience working with cross-functional teams (engineering, business, operations)
• Documentation skills for data dictionaries and process workflows