Job Opportunities API

Company Profile: Our client is a US-headquartered company founded in 2024 by healthcare professionals who understood firsthand the challenges nurse practitioners face in securing and managing collaborative physician relationships. Their platform simplifies this process with instant matching to verified physicians, transparent pricing, dedicated support, and a secure, compliant system.   They operate the leading platform connecting Nurse Practitioners (NPs) with collaborating physicians across the United States. Their service streamlines an often-complex process — enabling NPs to quickly, affordably, and confidently find the physician collaborators they need to meet state requirements and launch their practices. Through additional support in practice management, regulatory compliance, and growth strategy, they help NPs successfully build and scale independent clinics nationwide. Overall purpose and responsibilities of the role: As a Data Analyst, you will build the client's analytical foundation from the ground up by establishing a single source of truth for business metrics, developing reliable dashboards for leadership and department heads, and delivering actionable insights that drive data-informed decision-making across customer retention, acquisition, operations, and product development.   This is a high-impact, foundational role that will shape the company's retention strategy, sales performance, physician recruitment, operational planning, and ability to define, measure, and achieve meaningful OKRs. You will work closely with the Head of Business Operations, the CEO, and cross-functional leaders across Customer Success, Sales, Marketing, Physician Experience, and Operations. Working hours / Job Type: Monday to Friday, 9am to 6pm EST (9pm to 6am Manila time), with 8 core working hours exclusive of 1 hour break Duties and Responsibilities: Dashboards & Reporting • Build, maintain, and continuously improve executive and operational dashboards using available data sources including BigQuery, Google Analytics, Odoo, Abacus AI, and others • Develop a central metrics layer that integrates data across marketing, sales, customer success, and physician experience into a coherent, single source of truth • Ensure all key business metrics — including churn rate, LTV, conversion rates, cohort performance, revenue per client, and physician supply/demand by state — are tracked in one accessible, well- maintained place • Deliver regular reporting cadences to leadership with clear visualizations, trend commentary, and recommended actions • Build automated alerts and monitoring so leadership is notified when key metrics move outside expected ranges — reducing reliance on manual review • Leverage Abacus AI and other AI-powered tools to accelerate analysis, surface patterns, and build predictive models that would otherwise require significant manual effort  Churn & Retention Analysis • Analyze churn and retention patterns across client cohorts to identify when clients are most at risk and what behavioral or operational factors predict cancellation • Build and maintain survival cohort models to understand client lifetime value and the inflection points at which clients tend to stabilize or disengage • Surface early warning signals in client behavior — such as frequency of invoice review, support ticket volume, platform inactivity, or communication cadence — to help Customer Success intervene proactively rather than reactively • Evaluate the effectiveness of retention initiatives, discount strategies, and re-engagement programs with rigorous before/after analysis • Model the revenue impact of reducing churn by specific percentage points to help leadership prioritize retention investments Conversion & Growth Analysis • Analyze conversion funnels across the clients platform and website — from page views to registrations,