Senior Analytics Engineer

CodeRabbit; San Francisco (CA); On-site; USD 170,000 - 200,000; Full time

Job summary

CodeRabbit is seeking a Senior Analytics Engineer to build dashboards and reports that give leadership strategic insight across Finance, Revenue, Marketing and Product. You will launch our foundational BI tool and develop agentic workflows that model data and generate dashboards on request.

You’ll join a small Business Systems team using frontier AI tools daily, partnering with Finance and GTM to scale data products and self-serve analytics across the company.

Qualifications

• 3+ years as Analytics Engineer or Data Analyst in a high-growth B2B SaaS.
• Strong SQL and cloud data warehouse experience (BigQuery or Snowflake).
• Experience building dbt models and the semantic layer.
• Experience creating dashboards in BI tools (Omni, Sigma or Looker).
• Finance and GTM metrics knowledge (ARR, retention, bookings, CAC).
• Experience with agentic tools (Claude Code or Codex).
• Ability to work with messy data and communicate with senior leadership.

Responsibilities

• Launch foundational BI tool and build executive dashboards.
• Create exec- and board-level reports for Finance and GTM (ARR waterfalls, pipeline, funnel).
• Conduct in-depth analyses of targets vs actuals, margins, and billing issues.
• Build and maintain dbt models and a governed data layer.
• Identify data warehouse gaps and enforce canonical definitions across the business.
• Develop the context layer and agentic harness for dashboards on request.
• Collaborate with Finance and GTM to scale data workflows.

Skills

Analytics engineering

SQL proficiency

Data storytelling

Stakeholder communication

Strategic thinking

Tools

BigQuery

Snowflake

dbt

Looker

Omni

Sigma

Job description

About this job

About CodeRabbit

CodeRabbit is the governance and control layer for agentic software development, helping engineering teams trust the code they ship. AI can generate code faster than people can review and understand it. Teams still need to know whether each change solves the right problem, fits their architecture, and is safe to ship.
We provide independent validation grounded in codebase context and team standards, giving people the evidence they need to judge what should ship. Across Review, Triage, Explain, and Secure, our platform challenges changes before merge, prioritizes pull requests by value, impact, and risk, explains what changed and why it matters, and monitors the codebase for security vulnerabilities after merge.
CodeRabbit serves nearly 20,000 customers and supports approximately 300,000 open-source repositories, performing over 2 million code reviews each week. Our $143M Series C, raised at a $1.5B valuation, supports further product development and international expansion.

The Opportunity

CodeRabbit helps engineering teams trust the code their AI agents write. We want the same confidence in our own numbers. As our Senior Analytics Engineer, you’ll build the dashboards and reports that give leadership strategic insight across Finance, Revenue, Marketing and Product. You’ll launch our foundational BI tool, then build the agentic workflows that model our data and generate new dashboards and insights on request. You’ll join a small Business Systems team who build with frontier AI tools every day.

Key Responsibilities

• Launch our foundational BI tool and build the first exec and team dashboards on it.
• Build exec- and board-level reporting for Finance and GTM, including ARR waterfalls, pipeline, funnel and deal risk.
• Run deep-dive analyses on the gaps between targets and actuals, pipeline health, margins, and billing issues.
• Build and maintain dbt models that form a governed data layer, so people and agents can query with confidence.
• Identify gaps in our data warehouse, ETL pipelines, and semantic layer to enforce canonical definitions and shared metrics across the business.
• Build and maintain the context layer and agentic harness that let anyone at CodeRabbit generate dashboards and insights on request, with tests and review before anything ships.
• Work as a collaborative partner to Finance and GTM: understand their problems and needs, then build workflows and data products that scale with our teams.

Qualifications

• 3+ years as an Analytics Engineer or Data Analyst, ideally at a high-growth B2B SaaS company.
• Strong SQL and hands-on experience with a cloud data warehouse such as BigQuery or Snowflake.
• Experience building and maintaining dbt models and the semantic layer.
• Experience building dashboards and self-serve analytics in a modern BI tool such as Omni, Sigma or Looker.
• Working knowledge of finance and GTM metrics: ARR, net and gross retention, bookings, pipeline coverage, CAC and gross margin, and how a forecast miss gets traced to its causes.
• Real experience using agentic tools such as Claude Code or Codex for analysis and for building, with something you built that you can show us.
• Comfortable working with messy data and understanding trade-offs when drawing insights.
• Ability to work and communicate with senior leadership, and technical and non-technical peers.

Preferred Qualifications

• Familiarity with ETL and ELT pipelines, orchestration tools (such as Airflow, Dagster or Fivetran) and reverse ETL.
• Experience at an AI company or early-stage startup, where definitions change and you build the first version of everything.
• Experience with CRMs like Salesforce and billing systems like Chargebee
• Python or TypeScript, Git and code review, or a dashboards-as-code tool such as Evidence, Streamlit or Observable.
• Experience building agent tooling: MCP servers, an agent harness, or CI for analytics code.
• Experience with finance reporting, such as an ERP or month-end close, and with usage-based or PLG-to-sales-led pricing, across PLG and SLG motions.

Target salary for this role is $170k-$200k, plus equity. Actual salary will be based on candidate skills, experience, and location.