Staff Data Analyst

Company: Assured

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-10-04

About this role

Assured is on a mission to modernize insurance. Claims processing (i.e. should we pay this claim?), while often overlooked, is the foundation of the entire industry. It’s currently highly manual, involving phone calls, faxes, and gut instinct, costing tens of billions of dollars a year. We can do better.


At Assured, we provide large insurers with the software solutions they need to win in a modern, technology-driven world. From self-service claim-filing software to backend fraud detection, we’re the engine that powers claims processing for some of the largest insurers in the world.


The challenges we face are deep and diverse, from creating digital experiences that provide comfort and clarity to claimants at their most stressed and vulnerable to orchestrating large-scale ML-driven decision-making on billions of dollars of claims payments, life at Assured is dynamic, collaborative, and rewarding.


Great decisions aren't built on intuition alone – they're built on data.


As a
Staff Data Analyst
, you'll partner with teams across the organization to transform data into meaningful insights that drive smarter decisions. You'll help leaders understand business performance, identify opportunities for improvement, and measure the impact of strategic initiatives.


The best analysts don't just report what happened – they help teams understand why it happened and what to do next. That's the kind of impact we're looking for in this role.


Some of the Problems You'll Solve:
🧪
Which initiatives create the greatest impact?
Design and analyze experiments, pilots, and performance evaluations that separate signal from noise and support confident decision-making.


📈
How healthy is the business?
Build dashboards and reporting that provide leaders with visibility into operational performance, customer outcomes, and organizational health.


🔍
What trends should we be paying attention to?
Analyze data across multiple sources t...

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