Data Analyst

ABOUT THE ROLE

• Fabric 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.

• You struggle to communicate technical findings to non-technical stakeholders

in a clear, digestible manner.

• You prefer traditional manual coding workflows and are hesitant to adopt AI

assistants to scale your data analysis tasks.

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.