Data Analyst

OpenKrill; United States; In loco; USD 90.000 - 130.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical, dental, vision benefits

Unlimited PTO

401(k) plan with company match

Stock options and bonuses

Descrizione del lavoro

Fabric Health is seeking a Data Analyst to deliver customer insights and actionable reporting for clinical operations and health outcomes. You will partner with the clinical organization to analyze trends and quantify value of initiatives, using SQL and AI tools to accelerate data processing and storytelling.

You’ll build dashboards for clinicians and executives, surface insights for customers, and help scale reporting across the organization with AI-assisted workflows.

Competenze

• 2+ years of data analytics experience, ideally within healthcare.
• Proficiency in SQL.
• Experience building dashboards or reports in a BI tool such as Tableau or Thoughtspot.
• Familiarity with Python or R for complex analyses.
• Proficiency in utilizing modern AI assistants for query generation, data cleaning, and workflow automation.
• Bachelor’s degree, preferably in a quantitative discipline; an advanced degree is a plus.
• Comfort managing multiple analysis projects at once in a fast-paced environment.

Mansioni

• Build and maintain reporting that tracks physician performance, care quality, and consistency of clinical standards across the platform.
• Design dashboards and visualizations that make clinical and business metrics easy to act on for both clinical and non-clinical leaders.
• Partner closely with our client-facing organization to surface clinical insights for customers and prospects.
• Collaborate with clinical operations and physician enterprise leaders to translate questions into well-scoped analyses.
• Write and maintain SQL for the data warehouse, using AI coding assistants to accelerate queries.
• Collaborate with product and engineering to improve data quality and reliability of clinical data.
• Support ongoing reporting to move from one-off requests to scalable, repeatable reporting.
• Leverage AI tools for data cleaning, pattern recognition, and drafting analytical summaries.

Conoscenze

SQL

BI dashboards

Python or R

AI-assisted queries

Healthcare analytics

Tableau

Thoughtspot

AI-assisted data processing

Formazione

Bachelor’s degree in quantitative discipline

Advanced degree a plus

Strumenti

Databricks

Heap

Mixpanel

Amplitude

Descrizione del lavoro

About Fabric HealthAt Fabric Health, we are powering boundless care by solving healthcare’s biggest challenge: clinical capacity. We aren’t here to disrupt healthcare; we’re here to fix it. We unify the care journey from intake to treatment, using intelligent automation to remove administrative burdens and make care delivery 2-10x more efficient. Our technology empowers clinicians to move faster and focus on what matters most: the patient.

We are a mission-driven team of brilliant minds trusted by leading organizations including Intermountain Health, OSF HealthCare, SSM Health, and MUSC Health. Our vision is backed by premier investors such as Thrive Capital, GV (Google Ventures), General Catalyst, and Salesforce Ventures. We move quickly for good reason, listen deeply to solve big challenges, and build products with the same care and quality we’d want for our own loved ones.

Learn more: About Us | News & Press | LinkedIn | Careers

About the RoleFabric is looking to bring on a Data Analyst to provide customer insights and support our medical leadership through actionable reporting. As part of our analytics team, you partner with the clinical organization to deliver strategic analyses and build automated reporting around clinical operations and health outcomes. You will dive into complex datasets to analyze trends, identify opportunities, and quantify the potential value of new initiatives. Your work helps ensure our clients have clear visibility into the clinical value Fabric provides, supporting the continuous improvement of our medical practice to best serve our patients.

This role requires proven quantitative and critical thinking skills along with a solid understanding of healthcare analytics. As a vital contributor to a lean team, you clearly communicate complex findings to diverse audiences, collaborate across multiple functions, and leverage modern AI tools to accelerate data processing and generate insights.

What You'll Do

As a Data Analyst, your primary responsibilities include:

• Build and maintaining reporting that tracks physician performance, care quality, and consistency of clinical standards across the platform.
• Design dashboards and visualizations that make clinical and business metrics easy to act on for both clinical and non-clinical leaders.
• Partner closely with our client-facing organization to surface clinical insights for customers and prospects.
• Collaborate with clinical operations and physician enterprise leaders to translate open questions into clear, well-scoped analyses.
• Write and maintaining SQL for the data warehouse to transform raw clinical and operational data into analysis-ready datasets, utilizing AI coding assistants to accelerate query development.
• Collaborate with product and engineering teams to improve the quality, structure, and reliability of underlying clinical data.
• Support ongoing reporting needs to help the team move from one-off requests toward scalable, repeatable reporting.
• Leverage AI tools for advanced data cleaning, initial pattern recognition, and drafting analytical summaries to increase efficiency.

Why You Might Be a Good Fit

• You enjoy translating ambiguous clinical questions into clear, actionable data models and dashboards.
• You have a solid foundation in healthcare analytics and understand the nuances of clinical and operational data.
• You excel at bridging the gap between technical data engineering and business-facing clinical leadership.
• You are proactive in seeking out ways to scale reporting rather than manually answering the same questions repeatedly.
• You are an early adopter of technology, actively using AI tools to write queries faster and streamline your analytical workflows.

This Might Not Be The Right Fit If...

• You prefer working with perfectly clean, strictly structured data over navigating the messy reality of real-world healthcare datasets.
• You want to focus solely on building complex machine learning models rather than delivering practical, descriptive analytics and BI reporting.

Your Qualifications

• 2+ years of experience analyzing data in a professional setting, ideally within healthcare.
• Proven proficiency in SQL.
• Experience building dashboards or reports in a BI tool such as Tableau or Thoughtspot.
• Familiarity with Python or R for complex analyses.
• Proficiency in utilizing modern AI assistants for query generation, data cleaning, and workflow automation.
• Bachelor’s degree, preferably in a quantitative discipline; an advanced degree is a plus.
• Comfort managing multiple analysis projects at once and adapting to shifting priorities in a fast-paced environment.

Bonus Points

• Familiarity with common healthcare datasets, standards, and measures such as HEDIS.
• Experience with analytics tools such as Heap, Mixpanel, or Amplitude.
• Experience with A/B testing, including statistical hypothesis testing methodologies.
• Experience working within Databricks.

The national pay range for this role is $90,000.00 – $130,000.00 per year. Actual compensation will be determined by factors such as the candidate's geographic market, experience, skills, and qualifications. Certain roles may also be eligible for additional compensation, including a comprehensive benefits package such as medical, dental, vision, unlimited PTO, and a 401(k) plan, stock options and bonuses. If your compensation requirement is greater than our posted range, please still consider applying; a determination can be made based on unique qualifications. Expected compensation ranges for this role may change over time.

At Fabric, we believe that a diverse workforce is essential to our success.

We are an equal opportunity employer and are committed to creating an inclusive environment for all employees.

We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other legally protected characteristic.

We actively encourage individuals from all backgrounds to apply.