Engineer, Analytics

Ensemble Health Partners

7d • $84,000 - $144,900 • Remote

About The Position

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.

Requirements

• 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.
• 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.

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 501-1,000 employees