[Hiring] Analyst II, Analytics @Ensemble Health Partners

Role Description

Ensemble is seeking a dynamic and analytical Product Analyst to support the development of AI Agents and low-code solutions within our healthcare technology ecosystem. This role blends product data analytics and low-code development to drive innovation in Revenue Cycle operations. The ideal candidate will work cross-functionally with revenue cycle operators, product managers, data scientists, engineers, and domain experts to gather requirements, build solutions, and deliver insights that shape product strategy and improve outcomes.

Key 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.

Qualifications

• 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.

Preferred Skills

• 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.

Benefits

• 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.
• Investment in professional development, including earning a professional certification relevant to your field and tuition reimbursement.
• Quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company.

Employment Disclaimers

Ensemble is an equal employment opportunity employer. It is our policy not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender, gender identity, religion, national origin, age, disability, military or veteran status, genetic information or any other basis protected by applicable federal, state, or local laws. Ensemble also prohibits harassment of applicants or employees based on any of these protected categories.

Due to business, operational, payroll, and regulatory requirements, this position is limited to individuals who reside and are authorized to work within the United States. Applications generated from outside the United States will not be considered. Individuals may reapply when located within the United States.

Ensemble provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. If you require accommodation in the application process, please contact [email protected].

This posting addresses state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors, including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position. A candidate entry rate of pay does not typically fall at the minimum or maximum of the role’s range.