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About the Role
Unlock the value of data assets by transforming and presenting data to drive action. This role involves building reliable reporting infrastructure, analyzing patterns, and surfacing insights that change business operations. You will collaborate with pricing, sales ops, product, and leadership, translating between technical data realities and business questions.
Responsibilities
- 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
- Build and maintain executive and department-level dashboards
- Partner with stakeholders to understand reporting needs and translate them into self-serve solutions
- Build dashboards that inform decisions and avoid creating noise
- Conduct deep-dive analyses to explain anomalies, validate hypotheses, and uncover signals in messy data
- Synthesize findings into clear, concise narratives 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
- Instrument data quality checks and alerting
- Maintain data dictionaries and lineage documentation
- Partner with engineering to ensure upstream source data is trustworthy and usable
Requirements
- 3–5+ years of experience in analytics engineering, data analysis, or a hybrid role
- Strong SQL skills, including query writing, optimization, and error identification
- Hands-on experience with dbt (Core or Cloud), including model structure, ref/source, tests, documentation, and incremental strategies
- Proficiency with Snowflake or a comparable cloud data warehouse
- Experience building dashboards in Metabase, Looker, Mode, Tableau, or similar
- Proven ability to translate vague business questions into structured analyses and clear recommendations
- Strong written communication skills for documentation and stakeholder write-ups
- Experience in insurance, fintech, or real estate data environments (Strong Plus)
- Familiarity with property data, underwriting data, or policy/claims datasets (Strong Plus)
- Python for data analysis (pandas, notebooks, scripting) (Strong Plus)
- Exposure to data modeling patterns like star schema, slowly changing dimensions, and wide tables (Strong Plus)
- Experience working in a startup or early-stage data team (Strong Plus)
Skills
- SQL
- dbt
- Snowflake
- Metabase
- Looker
- Mode
- Tableau
- Python
- pandas
- Data Modeling
Location
- Remote
Work Type
- Full-time
Experience Level
- 3-5+ years
Benefits
- Unlimited PTO
- Full health benefits
- Flexible work setups
- Competitive pay
- Equity
About the Company
- SafeLease is rethinking how P&C insurance is sold in an age of technological change, tackling structural inefficiencies.
- SafeLease is a profitable insurance business that designs, underwrites, and distributes specialty coverage for commercial property owners and their tenants.
- SafeLease controls the full stack: product design, tech, and speed, offering customers flexibility and saving time and money.
- The company is growing over 100% annually without sacrificing profitability or culture.
- SafeLease embraces new technologies, moves fast, and operates with the intensity of a small company where every person's work is visible.
- The team consists of seasoned pros and sharp operators with high standards and low egos.
Equal Opportunity
- Employment at SafeLease is contingent upon a satisfactory verification of a general and criminal background check.