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Analyst II, Analytics

Key Facts

Remote From: 
Full time
Mid-level (2-5 years)
English

Other Skills

  • Microsoft Excel
  • Communication
  • Time Management
  • Organizational Skills
  • Intellectual Curiosity
  • Problem Solving

Roles & Responsibilities

  • Bachelor’s degree in Computer Science, Data Science, or a related field.
  • 3–5 years of experience in data analytics, product development, consulting, or RPA, plus 3–5 years applying AI/ML in a business setting.
  • Hands-on experience with low-code platforms and automation tools (Power Automate, UiPath, etc.).
  • Advanced SQL skills with relational databases and proficiency in Power BI and data visualization best practices.

Requirements:

  • Collaborate with stakeholders to gather and prioritize requirements for AI Agent development and low-code automation initiatives, including discovery activities to define KPIs and success metrics.
  • Translate business problems into data-driven solutions using AI/ML models, low-code platforms, and connectors.
  • Design, develop, and test use cases using tools like Copilot, Power Apps, and other low-code platforms.
  • Demo functionality to end users, communicate findings to technical and non-technical audiences, and support UAT to ensure alignment with business requirements.

Job description

Thank you for considering a career at Ensemble!

Ensemble is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country.

Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference!

O.N.E Purpose:

  • Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.

  • Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation.

  • Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results.

The Opportunity:

Job Summary
Ensemble Health Partners 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.​

Required 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.

  • 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.

  • This position pays between $92,400 - $138,600 depending on variables.

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, and time in position. A candidate's entry rate of pay does not typically fall at the minimum or maximum of the role’s range.

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Join an award-winning company

Five-time winner of “Best in KLAS” 2020-2022, 2024-2025

Black Book Research's Top Revenue Cycle Management Outsourcing Solution 2021-2024

22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024

Leader in Everest Group's RCM Operations PEAK Matrix Assessment 2024

Clarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance 2020, 2022-2023

Energage Top Workplaces USA 2022-2024

Fortune Media Best Workplaces in Healthcare 2024

Monster Top Workplace for Remote Work 2024

Great Place to Work certified 2023-2024

  • Innovation

  • Work-Life Flexibility

  • Leadership

  • Purpose + Values

Bottom line, we believe in empowering people and giving them the tools and resources needed to thrive. A few of those include:

  • Associate Benefits –  We offer 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. 

  • Our Culture – Ensemble is a place where associates can do their best work and be their best selves. We put people first, last and always. Our culture is rooted in collaboration, growth, and innovation.  

  • Growth – We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement. 

  • Recognition – We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company. 

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.

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 TA@ensemblehp.com.

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.

Employment Disclaimers – Ensemble

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