Data Analyst

Analytics Engineer / Data Analyst

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.

What You'll Do

Data Modeling & Transformation

• Design, build, and maintain dbt models that transform raw source data into clean, well-documented, analytics-ready tables in Snowflake
• Establish and enforce naming conventions, testing standards, and documentation practices across the dbt project
• Own the semantic layer — ensuring consistent metric definitions that all stakeholders can trust

Reporting & Dashboards

• Build and maintain executive and department-level dashboards that communicate performance clearly and without ambiguity
• Partner with stakeholders across pricing/actuarial, sales, business development, and operations to understand reporting needs and translate them into durable, self-serve solutions
• Distinguish between dashboards that inform decisions and dashboards that create noise — and build accordingly

Analysis & Insight

• Conduct deep-dive analyses to explain anomalies, validate hypotheses, and uncover signals in messy data
• Synthesize findings into clear, concise narratives — written, visual, and verbal — appropriate for technical and non-technical audiences
• Proactively identify inflection points in the data and connect them to operational or market causes
• Contribute to strategic decisions by framing tradeoffs with data, not just describing what happened

Data Quality & Governance

• Instrument data quality checks and alerting so issues surface before they reach decision-makers
• Maintain data dictionaries and lineage documentation that make the platform legible to the broader organization
• Partner with engineering to ensure upstream source data lands in a state that's trustworthy and usable

Required

• 3–5+ years of experience in analytics engineering, data analysis, or a hybrid role
• Strong SQL — you write queries from scratch, optimize them, and know when a query is telling you something wrong
• Hands-on experience with dbt (Core or Cloud) — model structure, ref/source, tests, documentation, incremental strategies
• Proficiency with Snowflake or a comparable cloud data warehouse
• Experience building dashboards in Metabase, Looker, Mode, Tableau, or similar
• Proven ability to go from a vague business question to a structured analysis to a clear recommendation
• Strong written communication — your documentation and stakeholder write-ups are as clear as your SQL

Strong Plus

• Experience in insurance, fintech, or real estate data environments
• Familiarity with property data, underwriting data, or policy/claims datasets
• Python for data analysis (pandas, notebooks, scripting)
• Exposure to data modeling patterns — star schema, slowly changing dimensions, wide tables — and when to use which
• Experience working in a startup or early-stage data team where you had to build the foundation, not just extend it

What Success Looks Like

In your first 90 days, you've learned the data landscape, identified the highest-leverage gaps in our current modeling and reporting, and shipped your first set of dbt models and dashboards into production. Stakeholders know who to come to with data questions — and the answers they get are accurate and on time.

At six months, you've meaningfully improved data reliability and self-serve access across at least two business functions. You've led at least one significant deep-dive that influenced a real business decision.

At a year, you are the person who knows more about how SafeLease data works — end to end — than almost anyone else in the company. You're raising the bar for how we define, measure, and act on data, and you're doing it in a way that makes the whole team better.

The tech: Our prospects convert fast because we're solving real problems and delivering serious value to commercial real estate owners.

The team: We're a team of seasoned pros and sharp operators who know how to move fast and build smart. High standards, low ego.

The stability: We're well-funded, growing fast, and we make sure our team shares in that success with competitive pay and equity.

The employee experience: We also offer unlimited PTO, full health benefits, flexible work setups, and the kind of culture where people want to show up to do their best work.

If you don't have all the qualifications listed, don't worry! We understand everyone's career path is unique and still encourage you to apply if you feel this role is aligned with your career trajectory.

Employment at SafeLease is contingent upon a satisfactory verification of a general and criminal background check.