Analytics Specialist

Design and deliver digital, analytical, and AI-driven solutions, including autonomous AI agents, to improve audit effectiveness, automate processes, and support data-driven decision making.

• Design, develop, and deploy AI-enabled applications, intelligent agents, and automation solutions that support Internal Audit activities.
• Build and maintain solutions on Microsoft Azure, leveraging cloud-native services and modern application architectures.
• Develop backend services, APIs, workflows, and integrations using Python and related technologies.
• Support the implementation of agentic AI solutions and their integration with enterprise platforms.
• Design and maintain data pipelines and data engineering processes that enable AI, analytics, and automation use cases.
• Manage source control, CI/CD pipelines, and deployment processes using Azure DevOps and modern DevOps practices.
• Collaborate with auditors and business stakeholders to translate business requirements into scalable digital solutions.
• Ensure security, privacy, governance, and compliance requirements are embedded throughout the solution lifecycle.
• Evaluate emerging AI technologies and identify opportunities to enhance audit processes through automation and intelligence.
• Contribute to architecture decisions, technical standards, and best practices across the Digital Innovation team.
• Mentor team members and promote knowledge sharing, innovation, and continuous improvement.

• Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field.
• Strong experience in software development, solution engineering, or digital product development.
• Proficiency in Python and experience developing production-grade applications.
• Hands-on experience with Microsoft Azure services, including application hosting, data services, security, and AI capabilities.
• Experience with Azure DevOps, source control, CI/CD pipelines, and release management.
• Experience building APIs, integrations, and automation solutions within enterprise environments.
• Familiarity with large language models, AI agents, retrieval-augmented generation (RAG), or generative AI technologies.
• Knowledge of data engineering concepts, including data ingestion, transformation, and orchestration.
• Strong analytical and problem-solving skills with the ability to work on complex technical challenges.
• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
• Ability to work independently, manage multiple initiatives, and deliver solutions in a fast-changing environment.
• Passion for emerging technologies, innovation, and continuous learning.

Nice to Have:

• Experience with Power Platform, Power Automate, or low-code application development.
• Experience with Power BI for analytical reporting and data visualization.
• Experience working with security, governance, and compliance requirements in large enterprise environments.
• Experience in audit, risk management, internal controls, or SOX-related processes.