Data Analyst

Data Analyst

 

About the role

Honeycomb runs on data and AI. Dashboards, Claude skills, and BigQuery models are production infrastructure that the whole company depends on. We’re hiring a Data Analyst to make that infrastructure trustworthy, well-instrumented, and increasingly LLM-ready.

This isn’t a “pull data, build dashboards” role. We treat analytics like a product — with clear metric definitions, monitored quality, and consumption layers that serve both humans and AI agents. 

 

 

What you’ll do

• Build the business-logic layer. Partner with our data engineer on the gold/semantic layer in BigQuery. Translate business definitions into reusable SQL models that Tableau, Claude skills, and ad-hoc analysis can all trust as a single source of truth.
• Own metric definitions. Become the canonical authority on Honeycomb’s KPIs — bind rate, quote rate, GWP, loss ratio, funnel metrics. Maintain the definitions, their lineage, and the answer to “why do these two dashboards disagree?”
• Build the data infrastructure for LLMs. The differentiated part of this role. Design datasets and Claude skills optimized for natural-language querying, so any stakeholder can ask a free-form question about the business and get a trustworthy answer. Treat the LLM layer as production: versioned, tested, monitored.
• Track feature impact. Embed in the product cycle. Define success metrics before launch, ensure the right data is captured, run the pre/post. No feature ships without a measurement plan.
• Monitor accuracy. Build automated checks for freshness, drift, and metric stability across dashboards and Claude skills. Own the trust level of the analytics surface. 

 

What we’re looking for

• 4+ years in analytics, ideally in a fast-moving product environment
• Bachelor’s degree in Industrial Engineering and Management, Information Systems, Economics, or a related field.
• Strong SQL; BigQuery a plus
• Tableau or equivalent, plus the patience to debug definitional inconsistencies
• Git and basic engineering hygiene
• Strong cross-functional communication. Many of our stakeholders - product, underwriting, revenue, leadership - sit in the US while this role is based in Tel Aviv. You’ll need to work fluently across time zones and translate analysis into language that lands with non-technical operators.
• Real curiosity about LLM tooling - you want to be on the frontier of how analytics gets delivered 

 

Nice to have

• Insurance, fintech, or marketplace experience
• Experience with LLM context/skill files, prompt engineering, or RAG
• Python for data work