Collaborate with stakeholders to gather and prioritize requirements for AI Agent development and low-code automation initiatives.
Translate business problems into data-driven solutions using AI/ML models, low-code platforms and connectors.
Participate in discovery activities, including user interviews and journey mapping, to define KPIs and success metrics.
Design & develop and test use cases using tools like Copilot, Power Apps, and other low-code platforms.
Conduct testing, user segmentation, and product utilization analysis to inform product decisions.
Demo functionality to end users and communicate findings to both technical and non-technical audiences.
Support UAT for new modules and ensure alignment with business requirements.
Contribute to a culture of innovation, collaboration, and continuous improvement.

Bachelor’s degree in Computer Science, Data Science, or related field.
3–5 years of experience in data analytics, product development, consulting or RPA.
3–5 years of professional experience applying AI/ML in a business setting (beyond academic exposure).
Hands-on experience with low-code platforms and automation tools like Power Automate, UI path etc.
Advanced SQL skills and experience with relational databases.
Proficiency in Power BI, Excel, and data visualization best practices.
Strong problem-solving, communication, and organizational skills.
Familiarity with agile methodologies and product lifecycle management.
Experience in healthcare technology or Revenue Cycle operations is a plus.

Analyst II, Analytics

Key skills