Data Analyst
Safelease
Austin, TX, US
Onsite
2026-06-23
Typical pay for this role in Austin
$82K - $142K
Low
$82K
Median
$108K
High
$142K
Official salary benchmark · BLS OEWS 2025
Job description
**About SafeLease**
At SafeLease, we're rethinking how P\&C insurance is sold in an age of technological change. We believe the industry's biggest inefficiencies aren't technical problems — they're structural ones. And we're building the team to tackle them.
SafeLease is a profitable insurance business that designs, underwrites, and distributes specialty coverage for commercial property owners and their tenants. Most insurance companies either distribute products or bear the risk — we do both. We back our policies with our own capital, which means we control the full stack: product design, tech, and the speed at which we move. That end\-to\-end ownership lets us offer customers real flexibility, saving time and money for more than 4,000 properties insured for billions in value nationwide.
We're a team of 70, growing over 100% annually, and we've done it without sacrificing profitability or culture. Here, you'll get high discretion and a wide aperture of problems to solve. We embrace the newest technologies, move fast together, and operate with the intensity of a small company where every person's work is visible. If you're looking for a place to sharpen your craft alongside people who take their work seriously, you'll fit right in.
**About The Role**
We're looking for an Analytics Engineer / Data Analyst to unlock the value of our data assets by transforming and presenting data in a way that drives action. You’ll be a key voice in turning data signals into business decisions.
This isn't a "pull reports on request" role. You'll build the infrastructure that makes reliable reporting possible, go deep on unexplained patterns, and proactively surface insights that change how the business operates. You'll work closely with pricing, sales ops, product, and leadership — translating between technical data realities and business questions that don't always arrive in clean form.
**What You'll Do**
Data Modeling \& Transformation
* Design, build, and maint