3 Data Analyst Jobs Munich

Operate as a Trusted Scientific Partner: Dive deep into our clients' R&D mass spec workflows to identify their most critical data challenges and provide expert consulting., Develop Tailored Solutions: Design and configure innovative solutions using Genedata Expressionist, translating complex client requirements into a technical reality., Guide Client Projects: Act as the scientific lead and main point of contact for client projects, coordinating from conception through to successful implementation to ensure scientific and technical goals are met or exceeded., Articulate Scientific Value: Partner with the sales team as a scientific expert, conducting product demonstrations that showcase the potential of our software to prospective clients., Be the Voice of the Client: Act as the vital bridge between our clients and internal teams (Product, Marketing, R&D), translating feedback into insights that shape the future of our platform., Share Your Expertise: Develop and deliver engaging scientific and technical presentations to peers and clients, including at industry conferences, workshops, and client meetings.

Controlling and FP&A activities, including financial statements, budgets, forecasting, business cases and audit, Managing order processing, invoicing, and revenue recognition ensuring data integrity across the Accounts Receivable lifecycle, Transforming financial and operational data into clear monthly reporting, management KPIs, and investor-ready insights, Delivering adhoc analysis for strategic initiatives & growth projects e.g. optimizing project, customer & product profitability, Championing business intelligence to enable data-driven decisions across the company

Lead product & market analytics: Analyze trading algorithm performance, market behavior to provide action able insights to improve performance., Drive strategic insights: Partner with leadership on data-driven decision-making, providing actionable recommendations that shape Entrix’s product roadmap and business priorities., Lead, mentor & develop: Lead the analytics team through hands-on mentorship, career development, and technical guidance, building a high-performing, continuously improving analytics function., Align cross-functional analytics: Coordinate analytics efforts across teams, ensuring priorities are aligned and there is effective cross-functional collaboration across product, engineering, data science, and commercial domains., Enable data-driven learning: Develop and maintain analytics frameworks, KPIs, and tooling. Ensure insights are embedded into processes, promoting continuous learning and operational excellence., Engage with stakeholders: Being able to jump into deep-dives on certain findings with (external) stakeholders, tailoring insights to match the stakeholder needs

Own end-to-end data and AI workstreams within enterprise customer deployments - from data discovery and architecture design through to live, production-grade pipelines on carbmee EIS™., Engage directly with customer data, IT, and sustainability teams to understand their data environments, ERP structures, and emissions reporting needs, and design scalable integration and modelling solutions., Build and deploy AI-powered pipelines for supplier emissions data collection, product carbon footprint calculation, spend-based estimation, and Scope 3 data quality improvement., Develop and fine-tune machine learning models and LLM-based workflows to enhance emissions data coverage, accuracy, and inference at scale., Integrate carbmee EIS™ with ERP systems (especially SAP), procurement platforms, and third-party data sources via APIs, data pipelines, and custom scripts (Python, SQL)., Transform and prepare complex, messy enterprise datasets for integration, ensuring consistency and alignment with carbmee's data model., Translate complex model outputs and data analyses into clear, executive-ready insights that drive decarbonization decisions., Feed data and AI learnings back to carbmee's product engineering team to continuously improve the intelligence capabilities of the EIS™ platform.

Support the analysis of product usage data to identify trends and areas for improvement, Contribute to defining and tracking key product metrics (e.g. activation, engagement, retention), Assist in building and maintaining dashboards and reports to monitor product performance, Support the analysis of experiments (e.g. A/B tests) to evaluate product changes, Collaborate with Product Managers on tracking concepts and event definitions, Help translate data into clear, actionable insights for the product team, Work closely with engineering and data teams to ensure data reliability and quality

Eigenständige Konzeption, Modellierung und Umsetzung innovativer Applikationen im Qlik‑Umfeld, Gestaltung und Implementierung aussagekräftiger KPIs für unterschiedliche Geschäftsprozesse – in enger Abstimmung mit unseren Fachbereichen, Koordination, Priorisierung und strukturiertes Aufnehmen von Anforderungen gemeinsam mit den jeweiligen Ansprechpartnern, Analyse und Bearbeitung von Supportanfragen sowie Durchführung effizienter Fehlerbehebungsmaßnahmen im BI‑Umfeld, Betreuung, Optimierung und kontinuierliche Weiterentwicklung unseres BI‑Tools Qlik Sense, Administration, Pflege und Weiterentwicklung der Datenanbindung mit verschiedenen Quelle-Systemen