Analyst II, Analytics

Summary

Ensemble is a provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. The Analyst II, Analytics role supports AI Agent and low-code solution development within healthcare technology, using analytics, requirements gathering, testing, and cross-functional collaboration to improve Revenue Cycle operations and inform product strategy.

Responsibilities

• 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

Skills

• Bachelors degree in Computer Science, Data Science, or related field
• 35 years of experience in data analytics, product development, consulting or RPA
• 35 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
• Experience with inferential statistics, predictive modeling, and hypothesis testing
• Knowledge of EMR system integrations and healthcare data standards
• Ability to manage multiple priorities and work cross-functionally in a fast-paced environment
• Must be inquisitive and demonstrate openness to innovation including AI to explore better processes and ways to alleviate friction and improve patient and client experiences
• This is a remote position; however, candidates must be willing and able to travel to and work onsite at client, temporary, or corporate office locations as business needs require

Qualifications

Must Haves

• Bachelors degree in Computer Science, Data Science, or related field
• 35 years of experience in data analytics, product development, consulting or RPA
• 35 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
• Experience with inferential statistics, predictive modeling, and hypothesis testing
• Knowledge of EMR system integrations and healthcare data standards
• Ability to manage multiple priorities and work cross-functionally in a fast-paced environment
• Must be inquisitive and demonstrate openness to innovation including AI to explore better processes and ways to alleviate friction and improve patient and client experiences
• This is a remote position; however, candidates must be willing and able to travel to and work onsite at client, temporary, or corporate office locations as business needs require

Benefits

• This is a remote position; however, candidates must be willing and able to travel to and work onsite at client, temporary, or corporate office locations as business needs require.
• A comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs.
• Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement.
• Quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company.