Apply: senior data analyst, remote USA

- Pearl Health is hiring a Senior Data Analyst, Analytics Engineering for a remote U.S. role tied to healthcare data models, self-service analytics, and value-based care. - The job centers on turning raw healthcare data into trusted datasets for clinical outcomes and P&L, with Git workflows, code reviews, testing, and CI/CD. - It matters because the role blends analyst and analytics-engineer work inside a regulated Medicare-focused business, where clean logic directly affects care and money.

Remote data jobs usually read like some mix of dashboards, SQL, and “partner cross-functionally.” This one is narrower than that — and more interesting. Pearl Health is hiring a Senior Data Analyst, Analytics Engineering for a remote U.S. role, and the real job is building the trusted data layer underneath a healthcare business that lives or dies on clinical outcomes and unit economics. That makes it less of a classic BI seat and more of an analytics-engineering role wearing an analyst title. (jobs.ashbyhq.com) ### What is Pearl Health actually building? Pearl sells technology, services, and financial tools to help primary care groups succeed in value-based care — especially around Medicare and Medicare Advantage. In plain English, that means providers are rewarded for keeping patients healthier and total costs lower, not just for doing more billable activity. So the company’s data stack is not just measuring clicks or sub(jobs.ashbyhq.com)n a way people can trust. (jobs.ashbyhq.com) ### So what would this person do day to day? The posting says the analyst will design and maintain data models that power decisions across clinical outcomes and P&L. That means codifying business logic into clean, documented datasets instead of living in ad-hoc request land. The person would work with Data Science, Product, and Engineering to build a self-service environment, so other teams can explore things like p(jobs.ashbyhq.com)week. (jobs.ashbyhq.com) ### Why is the title a little misleading? Because “Senior Data Analyst” undersells the engineering part. Pearl wants someone who has been in the trenches as a data analyst or BI engineer, understands how downstream BI users actually consume data, and can manage pull requests, code reviews, and documentation in a Git-based workflow. The posting also calls out automated testing and CI/CD. Basically, the company wants someone who can think like an analyst but build like a software-minded data modeler. (jobs.ashbyhq.com) ### Why does healthcare make this harder? Healthcare data is messy even before regulation enters the picture. You are dealing with clinical concepts, payer logic, provider performance, and financial reporting that all need consistent definitions. In Pearl’s world, those definitions feed decisions about value-based care performance, which raises the cost of sloppy modeling. A broken dashboard in e-commerce is annoyin(jobs.ashbyhq.com)es, and financial planning at the same time. That is the catch. (jobs.ashbyhq.com) ### What kind of candidate is this really for? It looks strongest for someone coming from analytics engineering, healthcare analytics, or a heavy product-analytics role in a regulated business. The signal is not just tool fluency. It is whether you have turned ambiguous business questions into durable datasets that other people rely on. If you have worked with dbt-style modeling, Git workflows, warehouse-first analy(jobs.ashbyhq.com) title says analyst first. (jobs.ashbyhq.com) ### Why post like this get attention? Because good remote senior analytics roles are still crowded, but roles with real ownership are rarer. Pearl’s careers page shows the company hiring across data science, product, and engineering, which makes this look like part of a broader build-out rather than a one-off reporting backfill. That usually matters to candidates — you want to join a place where the data function is becoming more central, not more ornamental. (jobs.ashbyhq.com) ### Where’s the opportunity? The opportunity is leverage. If you build the canonical datasets that clinical, product, and finance teams all use, you shape how the company sees reality. That is a bigger job than making charts. It is deciding which definitions become durable, which metrics become trusted, and which decisions get made faster because the data layer stopped being the bottleneck. (jobs.ashbyhq.com)s a remote U.S. analytics role, but not a generic one. Pearl Health is looking for someone who can sit between business logic and data infrastructure — and make both sides cleaner. In a value-based healthcare company, that is not back-office work. It is part of the product. (jobs.ashbyhq.com)

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