Sr. Data Analyst

CodeRabbit is hiring a

Sr. Data Analyst

to help ship executive analytics, governed data foundations, and self-serve reporting used by Finance and GTM.

Responsibilities

Launch the foundational BI tool and deliver the first

exec

and

team

dashboards on it.

Develop

board- and executive-level reporting

for Finance and GTM, including

ARR waterfalls ,

pipeline ,

funnel , and

deal risk .

Lead deep-dive investigations into gaps between

targets and actuals ,

pipeline health ,

margins , and

billing issues .

Build and maintain

dbt models

that power a

governed data layer

for trustworthy querying by people and agents.

Find and close gaps across the

data warehouse ,

ETL pipelines , and

semantic layer

to enforce shared metrics and canonical definitions.

Maintain the

context layer

and an

agentic harness

that enables on-demand dashboards and insights, with

tests and review

before anything is released.

Partner with

Finance

and

GTM

by translating business needs into scalable workflows and data products.

Requirements

3+ years

as a data analyst or senior data analyst, ideally in a high-growth B2B SaaS environment.

Strong SQL

and hands-on experience with a cloud data warehouse such as

BigQuery

or

Snowflake .

Experience developing 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 ,

gross margin , and tracing forecast misses to root causes.

Hands-on experience using

agentic tools

such as

Claude Code

or

Codex , with a build you can demonstrate.

Comfort working with

messy data

and managing trade-offs when deriving insights.

Ability to work with and communicate to

senior leadership , plus technical and non-technical peers.

Preferred Qualifications

Familiarity with

ETL/ELT pipelines , orchestration tools such as

Airflow ,

Dagster , or

Fivetran , and

reverse ETL .

Experience at an

AI company

or

early-stage startup

where definitions evolve and you build initial versions of core systems.

Experience with

Salesforce

and billing systems like

Chargebee .

Python or TypeScript,

Git , and code review, or dashboards-as-code tooling such as

Evidence ,

Streamlit , or

Observable .

Experience building agent tooling, including

MCP servers , an agent harness, or

CI for analytics code .

Experience with finance reporting (ERP or month-end close) and usage-based or PLG-to-sales-led pricing across

PLG

and

SLG

motions.

Tech Stack

SQL ,

BigQuery ,

Snowflake

dbt ,

Airflow ,

Dagster ,

Fivetran

Omni ,

Sigma ,

Looker

Claude Code ,

Codex

Salesforce ,

Chargebee

Python ,

TypeScript ,

Git

Evidence ,

Streamlit ,

Observable ,

MCP servers

Location:

San Francisco, CA (Hybrid)

Employment type:

Full time

Department:

Revenue Operations

Salary:

USD 170,000 - 200,000 per yearly

Compensation:

$170K – $200K Offers Equity

Target salary note:

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

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