Top Senior Level Analysis Reporting Jobs in Austin, TX
The AI Strategist at KUNGFU.AI focuses on helping clients integrate AI/ML into their organizations by delivering quantifiable insights and actionable recommendations that enhance their capabilities and competitive advantage. Responsibilities include conducting stakeholder interviews, analyzing organizational dynamics, and collaborating with engineers to create impactful strategies.
As a Staff AI Researcher, you will develop AI solutions to enhance healthcare by utilizing vast medical datasets. Responsibilities include building prototypes, redesigning data pipelines, fine-tuning AI models, developing evaluation metrics, and ensuring high-quality engineering processes while collaborating across teams.
The ROC Senior Analyst role involves implementing and managing fraud detection and response processes within Visa's Risk Operations Center. Key responsibilities include analytics on transactional data, monitoring for fraud, improving incident handling, oversight of automation tools, and developing metrics for operational efficiency.
The Senior Compliance Analyst at MicroVentures will analyze, review, and approve compliance-related content and documentation to adhere to regulations. They will monitor investments and communication, work with the compliance team to establish procedures, and manage compliance projects independently or collaboratively within a fast-paced financial environment.
Lead customer transformation by designing and executing data and analytics strategies. Collaborate with business leaders to address challenges and develop a future state. Contribute to the consulting practice's direction through service delivery and support business development. Work with clients and teams to deliver data initiatives while mentoring junior consultants.
The Senior Billing Operations Analyst at Guild will manage complex billing processes, ensuring accurate tuition and revenue payments, resolving customer inquiries, and facilitating compliance requirements. This role requires collaboration, data analysis, and contributions to process improvements.
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