• Drive product strategy through data: Partner closely with Product Management, Engineering, and Design leaders to define success metrics, size new opportunities, and shape the strategic roadmap for our unsecured installment products. • Lead rigorous experimentation: Own the end-to-end A/B testing lifecycle—from hypothesis generation and experimental design to deep-dive analysis and executive readout—to continuously optimize user funnels and product features. • Execute high-impact behavioral analyses: Dive deep into complex user journey data to uncover friction points, retention drivers, and growth levers, translating raw telemetry into actionable product recommendations. • Architect scalable data solutions: Collaborate with Engineering teams to define tracking requirements for new product launches, ensuring high data quality and building intuitive dashboards that empower teams with self-serve insights.

• Conduct in-depth healthcare and compliance research to understand regulatory landscape, market dynamics, and industry trends. • Analyze healthcare data, operational metrics, and market information to identify patterns, gaps, and opportunities. • Build reports and visualizations to synthesize research findings and communicate insights to leadership and cross-functional teams. • Research compliance requirements, healthcare regulations, privacy requirements, and industry best practices relevant to mental health care delivery. • Conduct market analysis, competitive research, and customer research to inform strategic decision-making. • Synthesize complex healthcare information into clear briefs, white papers, and strategic recommendations for leadership. • Support cross-functional teams with data analysis, research support, and evidence-based insights for strategic initiatives.

• Work closely with the acquisition team to support them with accurate, reliable, and timely data insights • Own and drive growth of key acquisition funnel metrics • Develop and maintain dashboards, perform ad-hoc analyses and deliver actionable insights to the acquisition team • Ensure high quality of data collection and contribute to technical decisions that improve data pipelines and reporting systems • Apply machine learning techniques to improve acquisition efficiency • Collaborate on development and evaluation of ML models (feature design, validation, interpretation of results) • Use data-driven approaches to optimise user acquisition • Support experimentation with advanced methods

We're building a future where every mental health provider can deliver the full spectrum of care, including advanced interventions such as transcranial magnetic stimulation (TMS), SPRAVATO®, and others without the complexity of going it alone. We partner with mental health practices to bring these life-changing treatments to the people who need them most. Our tech-enabled platform embeds the end-to-end infrastructure, technology, and operations directly into existing practices so providers can expand their care, and patients can finally access the treatments they deserve. Everbright is currently partnered with 75+ providers across seven markets and backed by $7M in early-stage venture capital funding. About the Role We're seeking a Product Analyst to join our India-based team supporting US operations. This is a research and analysis-focused role ideal for someone with strong analytical skills, healthcare knowledge, and expertise in compliance and regulatory research. You'll conduct in depth healthcare research, analyze market trends, and investigate compliance landscapes to generate insights that inform product strategy and operations. If you have experience in healthcare research, regulatory analysis, or healthcare compliance, this is your opportunity to make a direct impact. You'll work with the product team to conduct market research, analyze healthcare trends, research compliance requirements, and synthesize complex information into actionable insights. The ideal candidate is structured, curious, and research driven a detail oriented operator who thrives on deep analysis, understands healthcare complexity, and excels at turning ambiguity into clear, evidence-based recommendations.