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CirrusMD is seeking a Lead BI Analyst to derive insights from complex data and act as a bridge-builder across the organization. You will help foster data-informed decision-making, partnering with teams across the company to deliver meaningful analytics.
You will architect measurement frameworks, own the data lifecycle, and build the Looker semantic layer to ensure trustworthy, reusable data. This remote-friendly role supports CirrusMD’s US operations.
CirrusMD is redefining virtual care by delivering a Physician-first Care & Guidance solution that meets patients at their moment of need. Our text-based (or web) app connects patients with licensed physicians in under a minute, allowing them to engage in care at their own pace and convenience. Available 24/7/365, CirrusMD’s integrated care spans multiple specialties—from acute and chronic care to behavioral health. Our platform serves 10 million users across all 50 states and is offered exclusively through employers and health plans. Learn more at cirrusmd.com.
CirrusMD is seeking a Lead Business Intelligence Analyst with 5+ years of relevant analytics experience who thrives in deriving insights out of complex data. You are a bridge-builder and critical insights partner who demonstrates the value for CirrusMD, aligns business intent with technical execution, and fosters a culture of data-informed decision-making. You partner with teams across the entire organization and do not hesitate to get into the weeds to understand the data. This role will be instrumental in providing accurate and meaningful data and insights that will be used to pave the way for our path ahead.
This position may work remotely anywhere in the United States of America.
Bridge the Gap: Act as the primary data partner to product, clinical, client success, finance, and engineering teams to align cross-functional initiatives and build a unified, data-informed organizational ecosystem.
Quantify Value: Architect robust measurement frameworks that transform product, clinical, and commercial initiatives into clearly defined performance metrics, directly demonstrating the economic value and ROI of CirrusMD’s solution to external stakeholders and clients
Data Lifecycle Ownership: Own the project data lifecycle - from initial ideation and feasibility assessment to building internal/client-facing reporting.
Semantic Layer Stewardship: Collaborate with engineers to define data structures and build out the Looker semantic layer to ensure high-trust, reusable data.
Insight Generation: Transform complex datasets into actionable insights that influence the strategic direction of the organization.
Performance Visibility & Delivery: Build and maintain high-impact visualization solutions and reporting frameworks that drive awareness and understanding of key performance metrics.
All other duties assigned.
Experience: 5+ years of relevant analytics experience
Strategic Partnership: Proven experience translating business requirements into technical execution for cross-functional stakeholders.
Technical Proficiency: Strong to advanced SQL skills; experience with Cloud Data Platforms (e.g., Snowflake) and BI reporting tools (e.g., Looker Cloud/On-Prem).
Data Modeling: Expert in building semantic layers (LookML), managing version control via GitHub, and applying data architecture best practices to ensure scalable, high-performance reporting environments.
Lifecycle Management: Proven ability to manage the full data lifecycle, from greenfield modeling to refactoring and optimizing legacy technical debt.
Communication: Exceptional bi-directional communication skills that allow you to distill complex technical topics for non-technical stakeholders while also collaborating effectively with technical counterparts.
Autonomy & Prioritization: Proven ability to manage competing priorities, knowing when to dive deep and when to zoom out to meet deadlines.
Data Governance & Client Delivery: Experience fulfilling complex, client-facing data requests while maintaining clear boundaries around data governance. You are highly adept at balancing stakeholder accommodation with a strict adherence to established organizational standards.
Integrity: Experience owning high-integrity data processes (e.g., billing, invoicing, or clinical reporting) where accuracy is non-negotiable.
Analytical Rigor: Knowledge and application of statistical methods and concepts such as incorporating confidence intervals, hypothesis testing, sentiment analysis, and anomaly detection.
Advanced Analytics: Experience with data transformation tools (dbt, Airflow) and the ability to leverage toolsets (Python/R) for analysis beyond standard SQL.
Healthcare Domain Expertise: Deep understanding of HIPAA/FedRAMP compliance, PII/PHI handling, and clinical metrics (HEDIS/NCQA/NQF).
CDP Experience: Knowledge of event-based tracking and Customer Data Platforms (e.g., Segment).
Systems Thinking: A holistic understanding of modern data stacks, infrastructure dependencies, and how upstream engineering impacts downstream consumption.
AI Fluency: Experience implementing AI-driven BI capabilities (such as Natural Language Querying or Looker Conversational Analytics) to democratize data access and enable intuitive, self-service exploration for business users