Data Analyst

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 4000 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 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

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.

Why SafeLease?

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.

What We Do

SafeLease is a leading provider of self-storage tenant protection and revenue management software. We're on a mission to bring big company capabilities to small- and medium-sized commercial real estate businesses. We achieve this by leveraging technology and a partner-centric business model to create new revenue channels that maximize the value of commercial property assets.

Why Work With Us

The SafeLease Team nurtures a culture of collaboration where every team member has a voice and that voice is heard. We grow and learn together prioritizing transparency and open communication at every step to ensure the company and every team member reaches their full potential.

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