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.
Employment Disclaimers – Ensemble
