GTM Analytics Analyst (B2B SaaS)

Location: Remote across Europe; listed locations include Germany, Albania, Austria, Bosnia, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Greece, Hungary, Ireland, Latvia, Lithuania, Montenegro, Netherlands, Norway, Poland, Portugal, Serbia, Slovenia, Spain, and the United Kingdom. Visa sponsorship is available for Germany; candidates working from other countries must already have the right to work there.

Company

hirify.global is an open workflow orchestration platform for technical teams, combining code flexibility with no-code speed and more than 500 integrations.

What you will do

• Build models and dashboards for pipeline coverage, stage conversion, velocity, slippage, win rate, and other sales metrics.
• Support RevOps forecasting with analysis, accuracy tracking, and clear explanations for leadership.
• Run actionable win/loss analysis and identify which self-serve users should receive sales assistance.
• Build account and lead scoring, refine PQL and MQL definitions, and segment the customer base.
• Model territories, quotas, capacity, and annual planning trade-offs.
• Partner with Analytics Engineering on Salesforce and product-data models, standardise metric definitions, and participate in pipeline reviews.

Requirements

• 5+ years of experience in sales, revenue, or GTM analytics within B2B SaaS, with ownership of the sales funnel.
• Strong knowledge of pipeline coverage, stage conversion, velocity, win rate, ACV, quota attainment, ramp, ARR, and NRR.
• Expert SQL skills and experience with Salesforce or an equivalent CRM.
• Experience with BigQuery, dbt, and Metabase, Hex, or equivalent analytics tools.
• Forecasting plus territory, quota, or capacity modelling experience.
• English is the company language; candidates outside Germany must already have the right to work in their country.

Nice to have

• Product-led growth and self-serve to sales-assisted handoff experience.
• Usage-based or credit-based pricing analysis.
• Lead or account scoring, propensity models, or ML-based analysis.
• Python with pandas, statsmodels, or scikit-learn.
• Devtool, open-source, technical product, Gong, Clay, enrichment, intent-data, or marketing-attribution experience.

Culture & Benefits

• Remote-first work across Europe with regular off-sites.
• European benefits, 30 vacation days plus public holidays, and pension contributions according to local norms.
• €1,000 per year for courses, books, events, or coaching.
• Equity, competitive compensation, and a $100 monthly open-source contribution allowance.
• Autonomous, direct, impact-focused environment with regular hackathons and transparent company communication.