Senior Data Analyst

CodeRabbit

. Launch the foundational BI tool and build the first executive and team dashboards .

Posted 10/13/2026full-timeSan Francisco • California • United StatesSenior💰 $170,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining BI tools, dashboards, and data models, with a strong focus on finance and GTM metrics. Proficient in SQL, cloud data warehousing, and ETL processes, while effectively communicating insights to both technical and non-technical stakeholders.

Highest-signal resume keywords

SQLCloud Data Warehouse (BigQuery, Snowflake)Dbt ModelsBI Tool (Omni, Sigma, Looker)Finance Metrics (ARR, CAC, Gross Margin)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisDashboard DevelopmentETL PipelinesData ModelingAgentic Tools (Claude Code, Codex)PythonTypeScriptGitAnalytics Code ReviewFinance Reporting

Soft Skills

CommunicationCollaborationProblem-Solving

Tools & Technologies

AirflowDagsterFivetranSalesforceChargebeeEvidenceStreamlitObservable

Industry Keywords

B2B SaaSAI CompanyHigh-Growth StartupPLGSLG

Tech Stack

Tools & technologies

AirflowBigQueryCloudERPETLPythonSQLTypeScript

About the role

Key responsibilities & impact

Launch the foundational BI tool and build the first executive and team dashboards
Build executive- and board-level reporting for Finance and GTM, including ARR waterfalls, pipeline, funnel and deal risk
Run deep-dive analyses on gaps between targets and actuals, pipeline health, margins and billing issues
Build and maintain dbt models forming a governed data layer
Identify gaps in the data warehouse, ETL pipelines and semantic layer to enforce canonical definitions and shared metrics
Build and maintain the context layer and agentic harness for generating dashboards and insights on request, with tests and review before release
Partner with Finance and GTM to build scalable workflows and data products
Join CodeRabbit's Business Systems team, supporting its AI code review platform

Requirements

What you’ll need

3+ years as a data analyst or senior 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
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
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

Benefits

Comp & perks

Equity
Hybrid work arrangement