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About the Role

Lead end-to-end analytical projects with high business relevance across the go-to-market funnel, owning the analytical direction from problem framing to recommendation and driving implementation. Turn data into clear strategic recommendations and business narratives for stakeholders, design advanced analyses, build a trustworthy data foundation in SQL and dbt, and develop AI-powered solutions.

Responsibilities

• Lead end-to-end analytical projects with high business relevance across our go-to-market funnel.
• Own the analytical direction from problem framing to recommendation and help drive the implementation.
• Turn data into clear strategic recommendations and business narratives for stakeholders from Marketing, Sales, RevOps and CX.
• Design and orchestrate advanced analyses around funnel performance, conversion, attribution, pipeline dynamics, and growth levers increasingly using AI.
• Build and own a trustworthy data foundation in SQL and dbt: scalable models instead of one-off reporting.
• Support the development of a strong AI-ready semantic layer for GTM analytics.
• Build new, proactive AI-powered solutions that bring insights directly into the team's workflow.
• Help the whole GTM analytics function level up by upskilling colleagues on working with AI on data and partnering with our AI Engineer on agentic workflows.

Requirements

• Solid experience as a Data Analyst in a B2B SaaS environment.
• 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: own a trustworthy, well-modeled data foundation.
• Own outcomes, not artifacts: move from analysis to recommendation to implementation.
• Make sound decisions under ambiguity, and balance speed with analytical rigor.
• Partner closely with stakeholders, ask the sharp questions, and challenge assumptions constructively while staying open to better arguments.
• Already use AI or LLMs practically in your work: decompose problems for AI, think about context and data readiness, and direct and validate AI output.
• 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.
• German is a plus, but the role can be performed in English.

Skills

• SQL
• dbt
• AI
• LLMs
• Agent frameworks
• Multi-agent orchestration
• Context/prompt engineering

Location

• Germany-wide

Work Type

• Location-independent mobile working
• Full-time

Experience Level

• Solid experience

Salary/Compensations

• 65.000-85.000 Euro/year

Benefits

• Flexible working hours
• Location-independent mobile working
• Germany-wide rail pass (Deutschlandticket) subsidized with 29 euros
• 30 days of vacation
• Additional days off (wedding, relocation, birth)
• One volunteering day
• Jobrad bike leasing program
• Sports offerings from Hansefit or EGYM Wellpass
• Access to mental health partner Bloom
• Additional company health insurance from Allianz
• Monthly professional shoulder and neck massage at the Hanover office
• Annual training budget of $800
• Regular feedback and development meetings
• Clear HERO career plan
• Summer and Christmas parties
• Regular team events
• Annual co-workations with the HERO team within the EU

About the Company

• HERO Software

Equal Opportunity

• We strongly encourage non-binary and trans* individuals to apply for this position.
• Severely disabled applicants with equal qualifications will be given preference.