- Where you can work from
- Remote — Poland onlyPoland
- Salary
- PLN 10k-13k / month
- Job type
- Full-time
- Experience
- Entry level
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Job description
Description
Ledgebrook is an AI-native specialty insurance platform. When a business needs coverage that is custom and complex, its broker comes to us, and our underwriters give them an answer, often in hours rather than weeks.
We built our technology from scratch, with AI in it from the first line of code. The technology helps price the risk; the underwriter uses their judgment to decide. There are always two hands on the wheel.
We are insurance industry insiders, and we eat our own cooking: Ledgebrook writes the policy and shares the risk through our own carrier, Ledgebrook Specialty, rated A- (Excellent) by AM Best. We work exclusively through wholesale brokers.
Our vision: to make the wheels of insurance spin faster.
At Ledgebrook, everything we do is driven by our culture: Care, Strive, Thrive Together. To succeed in modernizing the industry, we must first succeed in changing the way we do business. Talent density is our north star—fewer, better people working together as one. To that end we’ve replaced all individual incentives with generous equity packages—we play as a team, we win as a team. Everyone benefits handsomely from Ledgebrook’s success.
Ledgebrook is seeking a Data Associate, Data Excellence to join our Product & Data team. On this team, you’ll lead analytical efforts to drive data informed decision-making across the entire organization by gathering, analyzing, and visualizing / presenting technical insurance data.
As a Data Associate, Data Excellence, you will collaborate with data engineering, insurance product, claims, finance and operations teams to improve data integrity and automate reporting capabilities using VBA, SQL and Python. A key part of your role will be transforming complex insurance data into clear, compelling insights for both technical and non-technical stakeholders through required reporting and data visualization. Beyond reporting, you’ll conduct deep-dive data analysis, develop analytical tools, deliver dedicated solutions to help other departments automate their workflows, and identify opportunities to enhance business performance and operational effectiveness. You will also provide ad hoc analytical support and research as needed to ensure Ledgebrook continues to operate with data-driven precision.
About you
Here at Ledgebrook we are passionate about creating a team that is on a continuous learning journey and that shares our excitement about building a company from the ground up. Some of the characteristics we hold dear are:
- A passion to deliver a world-class customer service experience to both internal and external customers
- Intellectual curiosity and a desire to innovate processes/procedures versus being satisfied with the status quo
- A desire to continue learning whatever your career stage
- Agile prioritization skills coupled with a keen sense of urgency that seeks to balance getting it right versus getting it done right now
- A strong drive and desire to win together as a high-performing team
- A moral compass to “do the right thing, period”, we have zero tolerance for toxic behaviors.
Requirements
We are looking for candidates with a collaborative approach, strong analytical skills, and a passion for leveraging data to drive business outcomes. Some specific experiences and skills include:
- Proficiency with SQL and Excel (ideally including VBA and Power Query).
- Familiarity with Power BI or other BI tools (e.g. Tableau, Looker),
- Exposure to programming languages (e.g. Python, R) and to modern databases, ideally to Snowflake.
- Exposure to Power Automate and Power Apps, DataGrip / Cursor, and Jira would be an asset.
- Ability to translate complex data into actionable business insights.
- Excellent communication and presentation skills to collaborate with stakeholders across the organization.
- Navigating a startup environment, fast paced and dealing with uncertainty.
Nice to have: Property, Specialty or Casualty insurance data experience, strong interest in AI and ML tools.
For Candidates Applying From Poland
Please note: This position is open only to candidates who are authorized to work in Poland without the need for current or future employer-sponsored work authorization. We are unable to offer sponsorship at this time.
Ledgebrook may use Artificial Intelligence (“AI”) as part of the job application process, including to assist us in evaluating your application. AI is used as a support tool, and hiring decisions are made by human recruiters. By submitting your information, you acknowledge that the company may use AI tools as part of our evaluation. If you need a reasonable accommodation or alternative review process because of a disability or other legally protected basis, contact . Requesting an accommodation will not negatively affect your application.
Benefits
- 100% Remote Work
- Unlimited Paid Time Off
- Private Healthcare (Lux Med)
- Helping Hand Program
- Meaningful Equity
- High-Growth Startup Environment
- Exposure to the U.S. Insurance Market
- Career Growth Opportunities
- International Team & Cross-Border Collaboration
Compensation
The base salary range for this position is 10,450-12,500 PLN gross/month (Contract of Employment). This is a good-faith compensation range based on what Ledgebrook reasonably expects to pay for this position at the time of this posting. Actual compensation may vary based on a variety of relevant factors including but not limited to experience, qualifications and geographic location.
Employees in this position are eligible to participate in Ledgebrook’s equity incentive program.
Originally posted on Himalayas
Job availability & source
Still listed on the employer's own board at our last check, 4 hours ago
This job was originally posted by the employer or source shown below. We re-check the original listing regularly to keep its availability current, and send you straight to it to apply — we never sit in between.
- Source
- Himalayas
- Posted by the employer
- 23 Oct 2026
- First seen by us
- 23 Oct 2026
- Last checked
- 23 Oct 2026
via Himalayas — view on source
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