You lead end-to-end analytical projects with high business relevance across our go-to-market funnel and you own the analytical direction from problem framing to recommendation and help drive the implementation.
You turn data into clear strategic recommendations and business narratives for stakeholders from Marketing, Sales, RevOps and CX: opportunities, risks, concrete next steps, and what to do about them.
You design and orchestrate advanced analyses around funnel performance, conversion, attribution, pipeline dynamics, and growth levers increasingly using AI to do the heavy lifting while you own the judgment and direction.
You build and own a trustworthy data foundation in SQL and dbt: scalable models instead of one-off reporting, structured and documented enough to be agentic-ready for people and AI agents alike.
You support the development of a strong AI-ready semantic layer for GTM analytics: translating business logic into clear metric definitions, trusted dbt models, semantic layer, documentation, and context that enable reliable analysis, self-service, and future AI use cases.
You build new, proactive AI-powered solutions that bring insights directly into the team's workflow for example, a salesperson being coached automatically from their pipeline data and a tailored prompt, instead of waiting for someone to open a dashboard.
You help the whole GTM analytics function level up: you upskill colleagues on working with AI on data, partner with our AI Engineer on agentic workflows, and raise the analytical bar across Marketing, Sales, and RevOps.
Requirements
Solid experience as a Data Analyst in a B2B SaaS environment, with real GTM domain depth on funnel performance, conversion, attribution, and a clear understanding of how Marketing, Sales, and RevOps work together across the funnel.
Strong SQL and dbt: you own a trustworthy, well-modeled data foundation
You own outcomes, not artifacts: you move from analysis to recommendation to implementation, make sound decisions under ambiguity, and balance speed with analytical rigor.
You partner closely with stakeholders, ask the sharp questions, and challenge assumptions constructively while staying open to better arguments.
You already use AI or LLMs practically in your work: you decompose problems for AI, think about context and data readiness, and direct and validate AI output.
What makes you stand out:
You enjoy building new, proactive AI-powered solutions, not just dashboards, and like enabling others to work this way.
Hands-on experience with agent frameworks, multi-agent orchestration, or context/prompt engineering, we'll grow you into the deep end together with our AI Engineer.
German is a plus, but the role can be performed in English.
Tech Stack
SQL
Benefits
Flexible working hours and location-independent mobile working, supported by a Germany-wide rail pass (Deutschlandticket) subsidized with 29 euros
30 days of vacation (including December 24 and 31) plus additional days off (wedding, relocation, birth)
One volunteering day for a social project that is close to your heart
Stay fit with the Jobrad bike leasing program and sports offerings from Hansefit or EGYM Wellpass
Access to the full range of services offered by our mental health partner Bloom
You will also benefit from additional company health insurance from Allianz
Monthly professional shoulder and neck massage at the Hanover office.
An annual training budget of currently $800 for courses, books, or coaching
Regular feedback and development meetings to support you in your career goals
A clear HERO career plan to enable you to grow internally
Sensational summer and Christmas parties as well as regular team events
Annual co-workations with the HERO team within the EU