SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Verse Medical is a Series C healthtech company (backed by General Catalyst, SignalFire, and Sapphire Ventures) building modern software infrastructure to coordinate care for patients at home. The company connects providers, payors, and patients to deliver hospital-quality care outside traditional settings.
You will serve as a Data Analyst, turning Verse's data into actionable business decisions. This is a high-impact, high-visibility role reporting to functional leaders across the organization. You will own end-to-end analytics across business domains, translating ambiguous business questions into clear, defensible, self-serve analytical assets.
Key responsibilities:
- Spearhead end-to-end analytics across business domains (sales, operations, product, leadership).
- Understand trends in operational and customer data to influence team roadmap prioritization.
- Partner with cross-functional stakeholders to define new metrics, standardize reporting, and surface insights proactively.
- Automate recurring reporting and manual data-quality checks using Python and SQL, reducing turnaround time on audits and deliverables.
- Design and build algorithms and models (scoring, classification, similarity, risk-adjustment) to solve specific business problems, from provider mapping to fraud detection to cost-of-care scoring.
The role emphasizes high ownership, solving open-ended problems with data, and direct influence on a mission-driven company's trajectory. You will work in a culture that values transparency, rapid iteration, focused intensity balanced with sustainability, and deep customer empathy.
Compensation is competitive; the company offers 100% premium coverage for health insurance and a 401(k) plan. Opportunities for rapid career advancement exist in this growing company.
REQUIREMENTS:
- 3+ years of experience in data analysis, business intelligence, or analytics engineering, with end-to-end ownership of reporting and metrics.
- Strong experience writing SQL and Python for analysis, automation, and lightweight modeling.
- Experience building and driving adoption of dashboards (Metabase, Looker, Tableau, PowerBI, or similar).
- Experience developing custom metrics, scoring algorithms, or classification models to solve specific business problems.
- Experience performing exploratory analysis with minimal direction on ambiguous, open-ended business questions.
- Proactive communicator with experience working with stakeholders.
- Preferred: Experience with dbt modeling.
- Preferred: Experience with Snowflake.
- Preferred: Familiarity with healthcare or other regulated data (HIPAA compliance).
- Preferred: Experience working closely with engineers to triage and resolve issues.
