Business Intelligence Analyst job at Veriforce in US National

Title: Business Intelligence Analyst (AI & Automation Focus) Location: Remote, United States Department: Operations Employment Type Permanent Workplace type Fully remote Compensation $80,000 - $90,000 / year Reporting To Director of Intelligence & Productivity Job Description: At Veriforce, we help companies in high-risk industries keep their people, worksites, and supply chains safe and compliant. As a global leader in contractor and supply chain risk management, our SaaS platform simplifies contractor onboarding, credentialing, and compliance while providing powerful analytics and insights. Beyond software, we offer expert support, training, and consulting so our clients can operate with confidence. Together, we’re making workplaces safer every day. Veriforce is seeking a Business Intelligence Analyst with a strong focus on AI and automation to optimize performance across our Operations and Intelligence teams. This role sits at the intersection of network performance, operational intelligence, and process automation. You will monitor and analyze network health, identify inefficiencies across systems and workflows, and design AI-enabled and automated solutions that improve reliability, scalability, and operational efficiency. You will transform raw network and operational data into actionable insights while building intelligent systems that reduce manual effort, improve response times, and proactively detect performance risks. This is a builder role requiring analytical rigor, systems thinking, and hands-on automation development. What that means day-to-day: Network Monitoring & Performance Optimization Analyze network performance across client and contractor journeys to identify trends, risks, and improvement opportunities Monitor data flows and connectivity between internal systems Proactively identify and escalate operational gaps and bottlenecks before they escalate and our teams and customers AI & Automation Development Develop AI-driven insights, anomaly detection models, and predictive performance indicators Automate recurring operational workflows to reduce manual intervention and increase consistency Lead rollout and continued enablement for new productivity and AI tools Train teams on how and when to use tools to drive real efficiency and quality gains Reinforce best practices to ensure consistent and sustained adoption Build scalable reporting frameworks aligned to evolving business needs Governance, Security, & Continuous Improvement Ensure data handling adheres to governance, compliance, and security standards Document processes, automation logic, and system dependencies clearly Partner cross-functionally with Product, Engineering, and Operations to improve system reliability Continuously identify opportunities to streamline workflows and improve operational scalability What Success Looks Like Increased utilization and effectiveness of AI-enabled workflows Reduced variability in execution across Operations and Intelligence teams Reduction in manual operational tasks through automation Increased use of AI-driven insights in operational decision-making Clear, actionable intelligence delivered to leadership Faster, more consistent adoption of new processes and tools What you’ll need to be successful: Bachelor’s degree in Data Analytics, Information Systems, Computer Science, or a related field 3–5 years of experience in data analytics, network performance analysis, systems integration analytics, or similar roles Strong proficiency in SQL and data visualization tools (Power BI, Tableau, Looker, or similar) Experience building or supporting automated data pipelines Experience enabling teams on AI tools, automation, or new technology platforms Strong analytical and problem-solving skills with high attention to detail Ability to communicate complex technical findings clearly to non-technical stakeholders Strong written and verbal communication skills Highly efficient, organized, and pragmatic Comfortable working in a fast-paced, evolving environment Preferred Qualifications Familiarity with API monitoring, integration environments, and system interoperability Experience with Python, R, or similar tools for data manipulation and automation Background supporting operational, compliance, or scaled service teams What you’ll get in return: Here are just a few of the great reasons you should join our team! Work with a global team! We have colleagues and customers across North America and overseas. Veriforce is a great place to work! Our leaders and teams cite culture as one of the top reasons this is a great place to build your career. Veriforce provides 100% paid employee medical and dental insurance Monthly contributions to Health Savings Accounts A 401(k) match that is immediately fully vested Outstanding time off benefits Paid time off for volunteer activities Remote work