Analytics Engineer (remote from GMT-7 to GMT+4 timezones)

Job description

### **About Collectly** Collectly is a fast-growing healthcare technology company transforming revenue cycle management (RCM) through AI-driven automation. Millions of patients navigate inefficient billing systems every day, while providers face delayed payments, rising administrative burden, and operational complexity. Collectly applies artificial intelligence to automate workflows, accelerate cash flow, and modernize the patient financial experience; enabling healthcare organizations to operate more efficiently and focus on delivering care. There could not be a hotter space to play in. Healthcare is a $4.9T industry and is adopting AI technology at 2.2x the rate of the rest of the economy. RCM is at the heart of this transformation as it has a clear and demonstrable ROI to our customers. ### **About the role** We’re hiring a Senior Product Data Analyst to own how customers and our own teams see product performance. You will work both on our pre-service products (visit cost estimates, eligibility and benefits, patient support voice agent) and post-service (patient billing, revenue cycle metrics). You’ll own the dashboards for these products, provide visibility into our product performance, and use the data to find product gaps. You’ll build customer-facing metrics yourself, mostly with AI tools like Claude Code. This is a product role more than an infrastructure one: we want your time going into how each product behaves and what customers run into, not into maintaining pipelines. We are a hybrid company, partly based in Santa Monica, USA and partly remote, spread out around the United States & Europe. ### Key responsibilities ### **In this role you will** - Own the dashboards that product and customer teams work from, across most of our products. - Turn complaints and open questions into defined metrics, and track them over time. - Catch product issues in the data before they become escalations. - Work with the founder, product managers, engineers, and customer success to decide what to measure, and explain why a number moved. ### Required qualifications ### **Must-haves** - At least 4 years in data or product analytics. - Strong SQL and Python. - Software engineering experience - A product mindset: you start from what the customer experiences, not from what’s in the tables. - Fluency with AI-assisted development — we build dashboards and analyses with agentic coding tools (Claude Code and similar) as part of the day-to-day. - Healthy skepticism about numbers: you validate before you trust. - Exceptional written and oral communication skills. **Nice-to-haves** - Startup experience. - Worked with machine learning-related products - Experience building dashboards people actually use (Metabase, Looker, or similar). - Healthcare experience: eligibility and benefits, patient billing, revenue cycle. - Comfort reading application code to see where a number comes from.