GTM Data Analyst
New
N
n8nB2B SaaS
Listing locations: Germany, Albania, Austria, Bulgaria, Croatia, Czechia, Denmark, Estonia, Greece, Hungary, Ireland, Latvia, Lithuania, Montenegro, Netherlands, Norway, Poland, Portugal, Serbia, Slovenia, Spain, UKFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Our company language is English.
- Experience
- 5+ years in sales, revenue or GTM analytics at B2B SaaS, with real ownership of the sales funnel.
- Required Skills
- SQLSalesforceBigQuerydbt
Requirements
- Have 5+ years in sales, revenue or GTM analytics at a B2B SaaS company, with ownership of the sales funnel.
- Be fluent in pipeline coverage, stage conversion, velocity, win rate, ACV, quota attainment, ramp, ARR and NRR.
- Have experience with Salesforce or an equivalent CRM, including its structure, quirks and data hygiene.
- Have built or contributed to forecast models and understand how to make them defensible.
- Be expert in SQL.
- Be comfortable with a modern warehouse stack such as BigQuery, dbt and Metabase or Hex.
- Have territory, quota or capacity modelling experience for a sales organization.
- Be able to partner credibly with sales leaders and representatives and challenge data interpretations.
- Produce written memos and readouts that inform decisions.
- PLG, usage-based or credit-based pricing, scoring models, Python, and devtool or open-source product experience are nice-to-haves.
Responsibilities
- Build pipeline models and views covering coverage, stage conversion, velocity and slippage.
- Support RevOps forecasting with analysis and accuracy tracking, and explain forecast numbers to leadership.
- Run actionable win/loss analysis.
- Build account and lead scoring from product usage and firmographic signals with RevOps and product/customer analysts.
- Refine PQL and MQL definitions so sales representatives trust the leads they receive.
- Model territories, quota and capacity for annual planning.
- Segment accounts and motions to assess which approaches pay back the effort.
- Partner with Analytics Engineering on Salesforce and product data models in dbt and BigQuery.
- Standardize metric definitions and deliver dashboards GTM managers use in their weekly work.
- Participate in pipeline reviews and planning, challenge interpretations of data, and write recommendations that support decisions.
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