Data & Ops Analyst

You are looking for a role that challenges you intellectually and lets you build things that matter. You have an entrepreneurial mindset, you enjoy solving complex technical problems, and you thrive in a fast-paced startup environment. Most of all, you want your work to have meaning.

We’re Darrow — a fast-growing legal tech startup with an open, action-driven culture unlike any other. Our mission is “frictionless justice,” and we use advanced Machine Learning and AI to transform the justice system. Working at Darrow means knowing that every tool you build and every workflow you automate contributes to justice at scale.

Darrow has more than 130 team members across Tel Aviv and New York and is backed by world-class investors including Georgian, F2 Venture Capital, Entree Capital, NFX, and Y Combinator.

We are looking for a Data & Ops Analyst to join our fast-growing team. In this role, you will build the internal systems, automations, and integrations that power the company’s analytical and operational workflows. You will play a key part in enabling our teams to move faster, make better decisions, and scale their impact — all while contributing to a mission that improves the lives of millions.

If you are highly motivated, detail-oriented, and eager to leverage technology to solve real problems, this role is for you. You’re a team player, open-minded and collaborative, and you know how to turn ideas into working solutions. You embrace ownership, move quickly, and are excited to help shape the systems that drive Darrow forward.

Responsibilities:

Design, build, and maintain internal tools, automations, and integrations that streamline workflows across data, legal, and operational teams.
Collaborate closely with analysts, product stakeholders, and legal data teams to understand their needs and translate them into scalable technical solutions.
Ensure system reliability, data integrity, and smooth information flow across internal platforms and APIs.
Develop backend logic and automation scripts that support high-quality, efficient internal applications.
Leverage AI tools and advanced prompting techniques to enhance automation, enrichment, and user experience.
Document system behavior, maintain internal tooling standards, and continuously improve performance, stability, and usability.
Stay up to date with emerging internal tools frameworks, automation practices, and AI-driven development approaches to keep Darrow operating at the cutting edge.

Requirements:

At least 3 years of proven experience in internal tooling, automation engineering, or system integration roles — must.
n8n development - Must.
Proven experience working with AI-driven automation and enrichment (LLM-based workflows), including prompt engineering and applying AI tools to internal systems (i.e. n8n).
At least 2 years of hands-on programming experience with Python or JavaScript, including working with APIs, building backend logic, and optimizing data flows.
Strong proficiency in SQL, preferably PostgreSQL, with experience designing efficient data models and ETL/ELT processes.
Experience building or maintaining internal applications and dashboards using platforms such as Power BI, Tableau, or equivalent internal tools frameworks.
Excellent problem-solving and analytical skills, with the ability to translate complex operational and analytical needs into scalable technical solutions.
Strong communication skills and the ability to work collaboratively with both technical and non-technical stakeholders.
High level of English.

Sub - Departments:
Operations