Business Technical Analyst

Role and work model

Shared delivery and client work

• Assist with analysis, design, and implementation of AI-driven application development and cloud-based client solutions.
• Join client workshops and meetings; collaborate with business and technical teams to document requirements and solution designs.
• Contribute to software development, integration, testing, deployment, migration, and modernization initiatives.
• Research emerging application development, AI/agentic, and cloud trends, tools, and practices.
• Prepare client presentations, reports, and technical documentation; support technical solutioning and engagement scoping.

Technical domain duties

• Custom development: develop and test features using technologies such as Java, .NET, Python, or Node.js.
• Integration/middleware: support APIs and integrations between applications and enterprise systems.
• Curam: assist with configuration, testing, and support of Merative Curam solutions for health and human services.
• DevOps/platform engineering: support CI/CD pipelines, cloud deployments, and infrastructure automation.
• AI-enabled delivery: assist with AI solutions, prompt engineering, AI integrations, and AI-assisted development tools.
• Azure cloud engineering: support application and service development, deployment, and maintenance in Azure.

Must-have qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field.
• Basic programming experience; listed languages include C#, .NET, Java, and Python, followed by an incomplete “or” in the source.
• Familiarity with application development, AI/ML concepts, cloud computing, and data analysis.
• Exposure to custom software development, API integration, cloud engineering, or AI-enabled solutions.
• Strong analytical, problem-solving, and troubleshooting abilities.
• Effective verbal and written communication and ability to collaborate in cross-functional, team-based environments.

Nice-to-have qualifications

• Software application experience through internships, co-op placements, academic work, or personal projects.
• Understanding of SDLC, agile methodologies, and project management tools.
• Exposure to AWS, Azure, Google Cloud, and related services.
• Leadership or teamwork experience through campus involvement or extracurricular activities.

Compensation

• Salary range is $50,000–$90,000, with possible bonus program eligibility; the source does not specify a pay cadence.

Employer and purpose