At Quest Analytics, you'll help improve access to healthcare by solving meaningful business challenges with cutting-edge technology. You'll work alongside leaders across the organization, gain exposure to emerging AI platforms, and have the opportunity to shape how AI is used to improve business operations and customer experiences.

If you're excited about using AI to solve real-world problems and want to help build the future of intelligent work, we'd love to meet you.

Are you the type of person who constantly asks, "There has to be a better way to do this?" Do you enjoy solving puzzles, experimenting with new technology, and using AI to make work easier, faster, and smarter?

Quest Analytics is looking for an AI Intelligence Analyst to help transform how we work by identifying business challenges and building practical, scalable solutions using artificial intelligence, data analytics, automation, and process improvement.

This is not a traditional analyst role. You'll act like an internal consultant, working with business leaders to understand complex problems, break them into manageable pieces, and rapidly prototype solutions using the latest AI technologies.

Success in this role isn't defined by years of experience. It's driven by curiosity, initiative, creativity, analytical thinking, and a passion for learning emerging technologies.

Initially, you'll focus on improving Client Services operations and customer experience, with opportunities to expand your impact across the organization as you identify new ways to improve workflows, automate repetitive work, and enable smarter business decisions.

• Partner with leaders across the organization to understand business workflows, customer journeys, and operational challenges.
• Break down complex business problems into logical components before designing solutions.
• Identify workflow inefficiencies, unnecessary handoffs, repetitive tasks, and opportunities for automation.
• Turn loosely defined business challenges into practical solutions through rapid experimentation and iteration.

• Analyze product usage, operational, and customer data to uncover trends, adoption patterns, risks, and opportunities.
• Build dashboards, reports, queries, and repeatable analyses that support better business decisions.
• Connect multiple data sources to create a complete picture of customer experience and operational performance.
• Present findings in clear, actionable ways that help leaders prioritize improvements.

• Leverage AI platforms, automation tools, APIs, and analytics technologies to solve real business problems.
• Design and prototype AI assistants, prompts, lightweight applications, and automated workflows.
• Evaluate emerging AI technologies and identify where they can create measurable business value.
• Continuously experiment with new approaches and recommend innovative solutions.

• Document solutions so they can be maintained, scaled, and adopted across the organization.
• Measure results using metrics such as:
  • Time saved
  • Increased productivity
  • Faster issue resolution
  • Improved customer experience
  • Higher adoption
  • Reduced manual effort
• Share learnings and best practices with stakeholders.

• Apply sound judgment regarding data privacy, security, governance, and responsible AI use.
• Support a culture of continuous learning, experimentation, and innovation.
• Participate in training, knowledge sharing, and mentoring opportunities.
• Demonstrate Quest Analytics' values while delivering exceptional service to internal stakeholders.