GTM Data Analyst

Sit in pipeline reviews and planning as a peer, not a reporting function.

Push back constructively, including on the numbers people are attached to.

Turn analysis into crisp, written recommendations that move decisions.

Senior GTM analytics chops: 5+ years in sales, revenue or GTM analytics at B2B SaaS, with real ownership of the sales funnel.

Sales metrics fluency: pipeline coverage, stage conversion, velocity, win rate, ACV, quota attainment, ramp, ARR/NRR - you think in these natively.

CRM depth: experience with Salesforce (or equivalent) - its structure, its quirks, and the hygiene problems that quietly ruin analyses.

Forecasting experience: you've built or contributed to forecast models and know what makes them defensible - here you'll support RevOps on the build.

Technical toolkit: expert SQL; comfortable in a modern warehouse stack (BigQuery, dbt, Metabase/Hex or equivalent).

Planning experience: territory, quota or capacity modelling for a real sales org.

Business partner mindset: credible with sales leaders and reps, and able to tell a VP they're reading the data wrong.

Opinionated and high-agency: you spot what's worth analysing, you do it, and you arrive with a recommendation.

Communication that lands: memos and readouts that change what people do next.

PLG experience, especially the self-serve to sales-assisted handoff.

Usage-based or credit-based pricing: you've analysed consumption revenue before.

Scoring and propensity models: lead or account scoring, statistical or ML-based.

Python for analysis: pandas, statsmodels, scikit-learn when SQL isn't enough.

Devtool, open-source or technical product experience.

Wider GTM stack: Gong, Clay, enrichment and intent data, marketing attribution.

dbt modelling: you can ship your own models rather than only file requests.

You'd be the first person here whose whole job is the sales data - which means you get to define the function rather than inherit someone else's version of it. The commercial problem is interesting: a product-led motion and an enterprise motion feeding each other, on usage-based pricing, in a category that's moving very fast.

The foundations are already there. A real data team maintains the stack (BigQuery, dbt, Dagster, Metabase, Salesforce), so you spend your time on analysis rather than firefighting pipelines. And you'll work directly with GTM leadership in a company that values autonomy, directness and impact over process.

Sound like a challenge you're ready to take on? Apply now - and help us build the future of automation.

n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.

We can sponsor visas to Germany; for any other country, you need to have existing right to work.

Our company language is English.

You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n ( https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35 ).

Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future.