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Engineer, Analytics

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Other Skills

  • Teamwork
  • Intellectual Curiosity
  • Business Acumen

Roles & Responsibilities

  • Bachelor’s degree in Computer Science, Data Analytics, Statistics, Mathematics, or a related field (or equivalent experience)
  • 2+ years of experience in analytics engineering, analytics, business intelligence, or a related role
  • Advanced SQL expertise with a strong track record of building complex, maintainable transformations
  • Hands-on experience with analytics engineering tools and strong understanding of dimensional modeling, metrics design, and semantic layer concepts

Requirements:

  • Design, build, and maintain analytics-ready data models, including facts, dimensions, and data marts
  • Develop and manage transformations primarily in the semantic and transformation layer using SQL-based tooling
  • Define and maintain metrics, business logic, and calculations to ensure consistency across dashboards, reports, and analyses
  • Partner closely with product, operations, finance, and business stakeholders to understand requirements and translate them into well-defined data models and metrics

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:

The Analytics Engineer plays a critical role in transforming curated data into clear, consistent, and analytics ready‑ data models that power reporting, dashboards, and decision-making‑ across the organization. This role sits at the intersection of data engineering, analytics, and the business—owning the semantic layer, partnering closely with stakeholders, and ensuring that metrics are trusted, well-defined‑, and easy to use.

The ideal candidate is deeply skilled in SQL based transformations and dimensional modeling, has strong business acumen, and is passionate about enabling analysts and leaders with high-quality, intuitive data.

Essential Job Functions 

  • Design, build, and maintain analytics ready‑ data models, including facts, dimensions, and data marts.
  • Develop and manage transformations primarily in the semantic and transformation layer using SQL based tooling
  • Define and maintain metrics, business logic, and calculations to ensure consistency across dashboards, reports, and analyses.
  • Apply dimensional modeling best practices optimized for BI and analytical consumption.
  • Partner closely with product, operations, finance, and business stakeholders to understand requirements and translate them into well-defined‑ data models and metrics.
  • Act as a steward of business logic—ensuring definitions are clear, documented, and aligned across teams.
  • Proactively identify gaps, ambiguities, or inconsistencies in metrics and drive alignment toward standardized definitions.
  • Optimize data models for clarity, usability, and performance for downstream consumers, including analysts and self-service‑ BI users.
  • Support analysts and BI developers by enabling faster, more reliable dashboard and report development.
  • Ensure analytics outputs are intuitive, discoverable, and trusted by decision‑makers.
  • Implement data quality checks and testing at the analytics layer to ensure accuracy and reliability.
  • Contribute to analytics engineering standards, conventions, and documentation.
  • Collaborate with data engineering partners to provide feedback on source data structure and readiness for analytics.

Qualifications 

Required Skills & Experience 

  • Bachelor’s degree in Computer Science, Data Analytics, Statistics, Mathematics, or a related field (or equivalent experience)
  • 2+ years of experience in analytics engineering, analytics, business intelligence, or a related role.
  • Advanced SQL expertise, with a strong track record of building complex, maintainable transformations.
  • Hands‑on experience with analytics engineering tools.
  • Strong understanding of dimensional modeling, metrics design, and semantic layer concepts.
  • Experience supporting BI tools and downstream analytics use cases (dashboards, reporting, ad hoc analysis).
  • Ability to communicate clearly with both technical and non‑technical stakeholders.
  • Experience in healthcare-related operations, with an understanding of industry processes and terminology.
  • This position pays between $84,000 - 144,900 based on experience 
  • 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.

#LI-BT1
#LI-REMOTE

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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