Jobs

About Skypoint

Skypoint is a HITRUST r2–certified Agentic AI platform for healthcare operations, designed to accelerate productivity and operational efficiency across healthcare organizations. Our platform enables healthcare providers, payers, and senior care organizations to unify fragmented data, model industry-specific ontologies, and deploy AI agents that automate workflows and support better, faster decision-making.

Founded in 2020 in Portland, Oregon, Skypoint has grown to a team of over 75 employees and now serves more than 100 customers. We are proud to be recognized on Deloitte’s 2024 and 2025 Technology Fast 500™, celebrating the fastest-growing technology companies in North America, and to be featured on the INC. 5000 list in 2025, reflecting our strong and sustained revenue growth over the past three years.

Position Overview

Skypoint is seeking a highly consultative and technically rigorous Forward Deployed Analytics Engineer (FDAE) to lead customer implementations within our healthcare vertical.

This is a customer-embedded, outcome-oriented role. The FDAE partners directly with senior living and provider group organizations to design scalable semantic models, deploy executive-ready analytics, and — critically — ensure those insights are activated to drive measurable business outcomes.

The ideal candidate combines:

• Deep Power BI expertise (star schema + advanced DAX)
• Strong dimensional modeling discipline
• Executive-level communication skills
• A passion for understanding healthcare business mechanics
• A clear understanding of how data must translate into operational action

This is not a report-building role. It is a business-impact role.

What This Role Is Responsible For

• Embedding with customers to understand operational and financial drivers
• Designing scalable semantic data models
• Leading full-cycle analytics implementations
• Standardizing KPIs and governance
• Ensuring analytics outputs drive real operational change
• Connecting insights to measurable financial and performance outcomes

Core Responsibilities

1. Customer Immersion & Business Understanding

• Lead structured discovery sessions with executive and operational stakeholders.
• Develop deep fluency in:
• • Occupancy and census management
  • Labor cost optimization
  • Acuity and care mix
  • Reimbursement and payer mix
  • Provider productivity
  • Margin performance
• Translate ambiguous business questions into structured analytical models.
• Identify where visibility gaps are preventing performance improvement.

2. Semantic Modeling & Analytics Engineering

• Architect scalable star schema semantic models aligned to dimensional modeling best practices.
• Define fact table grain and conformed dimensions with clarity and discipline.
• Develop enterprise Power BI datasets designed for reuse and governance.
• Author advanced DAX measures including:
• • Complex CALCULATE logic
  • Time intelligence
  • Context transition
  • KPI standardization
  • Scenario modeling patterns
• Optimize model performance and maintainability.
• Implement row-level security where required.

3. Implementation Leadership

• Own the full customer implementation lifecycle.
• Drive requirements definition, phased delivery, and stakeholder alignment.
• Present deliverables to executive and operational audiences.
• Ensure adoption through training, structured rollout, and change enablement.

4. Data Activation & Outcome Ownership

This role must go beyond analytics delivery and focus on activation:

• Identify how insights should translate into operational workflows.
• Work with customer stakeholders to define action plans tied to KPIs.
• Ensure dashboards are decision-enabling, not just informative.
• Connect metrics to financial impact (e.g., EBITDA, labor margin, occupancy stabilization).
• Drive discussions around “What action should this metric trigger?”
• Establish feedback loops to measure whether analytics are driving measurable improvement.

The Forward Deployed Analytics Engineer is accountable not just for delivering analytics — but for ensuring those analytics influence behavior and performance.

Required Qualifications

Technical Expertise

• 5+ years of Power BI development experience.
• Demonstrated expertise in:
• • Star schema design
  • Dimensional modeling (Kimball methodology)
  • Fact/dimension architecture
  • Power BI performance optimization
• Advanced DAX proficiency.
• Strong SQL foundation.
• Experience designing reusable semantic layers (not report-only builds).

Customer & Implementation Leadership

• Experience leading customer-facing analytics implementations.
• Exceptional communication skills across executive and technical audiences.
• Strong workshop facilitation skills.
• Ability to operate autonomously in ambiguous environments.
• Clear understanding of how analytics drive operational behavior change.

Healthcare Domain Focus (Strongly Preferred)

Experience in:

• Senior Living (Independent Living, Assisted Living, Memory Care)
• Skilled Nursing
• Provider Groups
• Multi-site healthcare operations
• Labor and occupancy analytics
• Reimbursement and financial performance reporting

A genuine interest in healthcare economics and operational transformation is essential.

Success Profile

The ideal candidate:

• Loves working directly with customers.
• Seeks to understand how a business actually runs before building solutions.
• Thinks in terms of outcomes, not just outputs.
• Designs semantic models that scale.
• Asks, “What action should this insight drive?”
• Takes ownership of measurable performance improvement.

Why This Role Matters

Skypoint’s healthcare customers rely on data to stabilize occupancy, optimize labor, improve reimbursement capture, and increase margin performance. The Forward Deployed Analytics Engineer is central to translating analytics into operational change and financial impact.

Skypoint is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic