n8n·Germany·6 дн назад
GTM Data Analyst
Ориентир по рынку≈ 655 000 – 1 549 000 ₽наш грубый ориентир по 199 вакансиям этого грейда на рынке, без учёта специальности: у работодателя вилка не указана
🏢 ОфисMiddleПолная занятость
Вилки нет, про деньги придётся договариваться с нуля.
Вакансия на английскомПереведёт заголовок и описание вакансии на русский
Наша компания
The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.
О роли
Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: Cultivated a community of more than 650,000 active developers and builders
Наши требования
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
WHY JOIN US?
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
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 (
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
Мы предлагаем
Competitive compensation 💸 – We offer fair and attractive pay
Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity
Work/life balance 🏖️ – We work hard but ensure you have time to recharge
Europe: 30 days of vacation, plus public holidays wherever you are
US: 20 vacation days, 8 sick days, plus public holidays wherever you are
Health & wellness 🩺 –
Europe: We provide benefits according to local country norms
US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage
Future planning 💰 –
Europe: We provide pension contributions according to local country norms
US: 401(k) retirement plan with a 4% employer match
Financial security 🛡️ –
US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones
Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills
A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!
Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description
Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about
Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang
Country-specific details are provided in your contract
Дополнительно
Build the models and views that tell us where pipeline actually stands - coverage, stage conversion, velocity, slippage
Support RevOps on forecasting: supply the analysis and accuracy tracking behind it, and be the person leadership trusts to explain the number when it's uncomfortable
Run win/loss analysis that goes past "price" and "timing" to something we can act on
We have thousands of self-serve users and a sales team that can only talk to a fraction of them. Your job is to work out which fraction
Build account and lead scoring on product usage and firmographic signal, with RevOps and the product/customer analysts
Sharpen PQL and MQL definitions until reps trust what lands in their queue
Model territories, quota and capacity for annual planning - and make the trade-offs visible
Segment the base: which accounts, which motions, which segments actually pay back the effort
Answer the questions that decide where the next euro of GTM spend goes
Partner with Analytics Engineering on Salesforce and product data models in dbt/BigQuery
Standardise metric definitions so "win rate" means one thing across sales, marketing and finance
Ship dashboards GTM managers genuinely run their week on - not decks that get opened once
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