Analytics Engineer
Remote - Nationwide
- Pay
$84,000–126,000/yearAnnual period assumed — pay source
Experience in healthcare-related operations, with an understanding of industry processes and terminology. This position pays between $84,000 - $126,000 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.
Read the full posting- Work setting
Remote — work setting source
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-SA1
Listed location: Remote - Nationwide
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDefine and document metrics and business logic consistently across reports
Add data quality checks and testing at the analytics layer
Support analysts and BI developers with faster, more reliable dashboard development
From the employer’s posting
Define and maintain metrics, business logic, and calculations to ensure consistency across dashboards, reports, and analyses.
Implement data quality checks and testing at the analytics layer to ensure accuracy and reliability.
Support analysts and BI developers by enabling faster, more reliable dashboard and report development.
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Computer Science, Data Analytics, Statistics, Mathematics, or a related field (or equivalent experience)
- 22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024
- 3+ years of experience in analytics engineering, analytics, business intelligence, or a related role.
- 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.
Qualification wording
Bachelor’s degree in Computer Science, Data Analytics, Statistics, Mathematics, or a related field (or equivalent experience)
22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024
3+ years of experience in analytics engineering, analytics, business intelligence, or a related role.
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.
Education & alternatives
Required Skills & Experience - Bachelor’s degree in Computer Science, Data Analytics, Statistics, Mathematics, or a related field (or equivalent experience) - 3+ years of experience in analytics engineering, analytics, business intelligence, or a related role.
Tools in this posting
- SQL
- dbt
Source — Tool mentions in context
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.
- 3+ 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 dbt experience
- Advanced SQL expertise, with a strong track record of building complex, maintainable transformations. - Hands‑on dbt experience - Product or application engineering experience is a plus, with an understanding of both data and how it’s used in product and engineering applications.
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 28, 2026 · 1 day ago
- Recorded sightings
- 4
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on ensemblehp.wd5.myworkdayjobs.com. The employer’s form will show what is required.
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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:
Position Overview
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)
- 3+ 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 dbt experience
- Product or application engineering experience is a plus, with an understanding of both data and how it’s used in product and engineering applications.
- 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 - $126,000 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-SA1
#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.
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 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Experience in healthcare-related operations, with an understanding of industry processes and terminology. This position pays between $84,000 - $126,000 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.
- Location & working pattern
Remote - Nationwide
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-SA1 #LI-REMOTE Join an award-winning company
More source context
Fortune Media Best Workplaces in Healthcare 2024 Monster Top Workplace for Remote Work 2024 Great Place to Work certified 2023-2024
- Work authorization
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 TA@ensemblehp.com.
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