ATOSS Software München

RevOrg Data Analytics Manager / Lead Data Analyst

Gehalt
85.000–115.000 € brutto/Jahr
Arbeitsort
München, Bayern, Deutschland
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In this role you lead the RevOrg Data Analytics team to enable data-driven decisions across Sales, Marketing, CS and Enablement. You’ll shape revenue analytics foundations, governance, and scalable dashboards to drive predictable growth. You collaborate with cross-functional partners to align metrics and ensure a single source of truth. You’ll influence senior leaders with executive-ready insights and steer analytical strategy in a fast-growing SaaS environment. This position offers a chance to build impactful analytics that scale with ATOSS’s revenue ambition.

Leistungen / Benefits

  • profit-sharing and employee stock program
  • Structured onboarding and Leadership development tracks
  • Hybrid work options (remote within EU) and 30 days vacation
  • ATOSS Academy and ongoing leadership training
  • Seasonal company events and team retreats
  • Wellbeing programs and Wellhub membership

Verantwortungsbereiche

  • Lead, mentor and develop the RevOrg Analyst team; set analytical standards and ensure high-quality outputs
  • Own and evolve revenue KPIs, dashboards, and definitions across GTM teams; guide forecasting, attribution and productivity analytics
  • Collaborate with Marketing Ops, Sales Ops, CS Ops, RevOps, CRM and Enablement to align data structures and reporting
  • Co-own data governance frameworks, data standards and pipeline hygiene
  • Ensure robust methodologies for modeling, forecasting, attribution, and visualization; partner with Data Engineering and CRM teams to improve data pipelines

Zentrale Anforderungen

  • 5–7+ years in data analytics within B2B SaaS
  • experience in RevOps or GTM analytics preferred
  • prior team leadership or mentorship experience
  • Mastery of SQL; strong Python/R; advanced data visualization
  • ability to influence stakeholders and communicate with executives
  • leadership and people development
  • strategic thinking
  • cross-functional collaboration
  • SQL
  • Python or R
  • data visualization

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