Analytics Engineer

Ensemble RCM; United States; A distancia; USD 84.000 - 126.000; Jornada completa

Descripción de la vacante

Ensemble RCM is seeking an Analytics Engineer to transform curated data into analytics-ready models powering dashboards and decision-making. You will bridge data engineering, analytics, and business ownership of the semantic layer, ensuring trusted metrics and intuitive data usage.

The ideal candidate has deep SQL, dimensional modeling skills, and dbt experience. Healthcare domain familiarity helps, and remote work is supported with on-site travel as needed.

Formación

• Bachelor's degree in CS, Data Analytics, Statistics, Mathematics, or related field.
• 3+ years of experience in analytics engineering, analytics, BI, or related role.
• Advanced SQL expertise with complex, maintainable transformations.
• Hands-on dbt experience.
• Product or application engineering experience is a plus with data usage understanding.
• Strong understanding of dimensional modeling, metrics design, and semantic layer concepts.
• Experience supporting BI tools and downstream analytics use cases.
• Ability to communicate clearly with technical and non-technical stakeholders.
• Experience in healthcare-related operations, with understanding of industry processes and terminology.

Responsabilidades

• Design, build, and maintain analytics-ready data models (facts, dimensions, data marts).
• Develop and manage transformations in the semantic and transformation layer using SQL-based tooling.
• Define and maintain metrics, business logic, and calculations for dashboards and analyses.
• Apply dimensional modeling best practices for BI consumption.
• Collaborate with product, operations, finance, and stakeholders to translate requirements into data models and metrics.
• Act as steward of business logic with clear, documented definitions across teams.
• Identify gaps or inconsistencies in metrics and drive alignment to standards.
• Optimize data models for clarity, usability, and performance for analysts and self-service BI users.
• Support analysts and BI developers for faster, reliable dashboards and reports.
• Ensure analytics outputs are intuitive, discoverable, and trusted by decision-makers.
• Implement data quality checks and testing at the analytics layer.

Conocimientos

Advanced SQL

Analytics engineering

Stakeholder communication

Educación

Bachelor's degree in CS, Data Analytics, Statistics, Mathematics, or related field

Herramientas

dbt

Descripción del empleo

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.

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 O

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