• Levantamento de Dados para Direcionar a Descoberta: Identificar, coletar e analisar dados relevantes para apoiar a tomada de decisões estratégicas. • Colaborar com equipes multifuncionais para entender as necessidades de dados e insights. • Planejamento da Coleta de Dados e Métricas: Definir e implementar estratégias de coleta de dados eficazes, assegurando a qualidade e integridade dos dados. • Trabalhar em conjunto com stakeholders para estabelecer métricas relevantes que suportem os objetivos de negócios. • Acompanhamento de Indicadores de OKR em Cada Release do Ciclo: Monitorar e analisar indicadores-chave de desempenho (OKRs) durante cada fase do ciclo de desenvolvimento. • Produzir relatórios e visualizações para comunicar o progresso e as áreas de melhoria. • Implementação de Dados/Dashboards: Desenvolver e manter dashboards interativos que forneçam insights sobre o desempenho dos negócios. • Assegurar que as visualizações sejam acessíveis e compreensíveis para diferentes públicos. • Geração de Hipóteses Baseadas em Dados: Utilizar dados para influenciar a formação e teste de hipóteses que possam levar a melhorias nos processos e produtos. • Análise de Dados e Apresentações: Realizar análises profundas de dados transacionais para identificar tendências, padrões e oportunidades de melhorias. • Trabalhar com outras equipes para garantir que as análises estejam alinhadas com os objetivos estratégicos da empresa. • Realizar apresentações para diferentes públicos facilitando o consumo do conhecimento gerado a partir dos dados.

Role Description Möchtest du Teil eines SaaS-Unternehmens werden, das die Art und Weise verändert, wie Unternehmen Lernen, Weiterbildung und Wissensaufbau gestalten? Dann nutze die Chance, als Senior Sales Systems & Analytics Manager die Sales-Organisation aktiv mitzugestalten und durch datengetriebene Prozesse, moderne Systeme und intelligente Automatisierungen echten Impact auf Wachstum und Skalierung zu schaffen. - Sales Funnel & Performance-Steuerung - Optimierung und Skalierung des gesamten Sales Funnel mit klarem Fokus auf Effizienz und Wachstum. - Ownership für den gesamten Funnel von SQL bis Closed Won/Lost. - Analyse und Optimierung von Conversion Rates, Deal-Dynamiken und Sales Velocity. - Identifikation und Beseitigung von Bottlenecks entlang des Funnels. - Forecasting & Pipeline Excellence - Schaffung von Transparenz und belastbaren Entscheidungsgrundlagen im Vertrieb. - Aufbau und Steuerung einer strukturierten Forecasting-Cadence. - Durchführung von Pipeline-Reviews und Slippage-Analysen. - Definition und Sicherstellung klarer Pipeline- und Stage-Standards. - Sales Systems & Tooling - Aktive Weiterentwicklung der Sales-Systemlandschaft. - Optimierung und Skalierung des Sales-Tech-Stacks gemeinsam mit RevOps. - Weiterentwicklung von CRM-, Automation- und Angebotsprozessen. - Sicherstellung hoher Tool-Adoption, Datenqualität und Usability. - Daten & Analytics - Steuerung von Sales datengetrieben mit klarem Blick auf Performance. - Aufbau und Optimierung von Dashboards, Views und Reporting-Strukturen. - Ableitung konkreter Handlungsempfehlungen aus KPIs und Sales-Daten. - Schaffung von Transparenz über Performance, Pipeline und Prioritäten. - Enablement & Cross-funktionale Zusammenarbeit - Enge Zusammenarbeit mit Sales, RevOps und Customer Success. - Durchführung praxisnaher Trainings zu CRM, Pipeline-Hygiene und Best Practices. - Übersetzung von Sales-Anforderungen in skalierbare Workflows und Automatisierungen. Qualifications - Mindestens 5 Jahre Erfahrung in Revenue Operations, Sales Operations oder Sales Enablement. - Erfahrung in einem B2B-SaaS-Umfeld. - Fundierte Erfahrung in Forecasting, Funnel-Analysen und KPI-Steuerung. - Starke analytische Fähigkeiten und sicher im Umgang mit komplexen Datensätzen. - Admin-Level-Erfahrung mit CRM-Systemen, idealerweise HubSpot Sales Hub. - Verständnis für Datenstrukturen, Prozesslogiken und Automatisierungen. - Erfahrung mit Tools wie Zapier, n8n oder ähnlichen Lösungen von Vorteil. - Erfahrung mit AI-Tools und Automatisierungslösungen. - Klare und strukturierte Kommunikation mit Sales, Leadership und Operations. - Hohe Eigeninitiative und ausgeprägtes Ownership-Mindset. - Strukturierte Arbeitsweise und Fokus auf kontinuierliche Verbesserung. - Remote-first Mindset und sicher im Umgang mit dynamischen Umfeldern. Benefits - Gehaltsspanne von 66 k€ – 90 k€ brutto jährlich. - Regelmäßige Überprüfung der Vergütung. - Remote-first Arbeitsmodell. - Arbeiten von überall möglich. - Unbegrenzter bezahlter Urlaub. - Offene, transparente und wertschätzende Unternehmenskultur. - Regelmäßige Team-Events und enger Austausch. - Arbeit an einer sinnstiftenden Mission im Bildungsbereich. - Hoher Gestaltungsspielraum und enge Zusammenarbeit mit zentralen Teams. - Teil eines schnell wachsenden AI- und SaaS-Unternehmens. Company Description We are the leading headhunter for B2B sales and sales- positions in Germany, especially focusing on the field B2B sales of digital and innovative products.

Role Description Our client, a respected organization within the insurance industry, is seeking a Claims Operations & Data Analyst to join their team. This role will focus on analyzing claims operations, optimizing business processes, supporting technology initiatives, and leveraging data to improve operational performance and decision-making. The ideal candidate will combine strong analytical and technical skills with a thorough understanding of business processes, helping drive continuous improvement and support strategic initiatives across the organization. - Evaluate claims-related business processes, operational workflows, and system functionality to identify opportunities for increased efficiency, process improvement, and automation. - Gather, analyze, and document business requirements, workflows, and procedures to support operational enhancements and technology-driven initiatives. - Monitor and assess key performance metrics, leveraging data-driven insights to identify trends, recommend solutions, and support continuous improvement efforts. - Collaborate with business stakeholders and technical teams to support the planning, testing, implementation, and adoption of process and system improvements. Qualifications - 3 - 5+ years of analytical and reporting experience utilizing SQL, advanced Excel, and business intelligence tools to extract, validate, analyze, and present actionable business insights. - Prior experience within the property & casualty insurance industry, with knowledge of claims operations, claims systems, or claims administration platforms strongly preferred. - Experience supporting business and technology initiatives through Agile methodologies, process/workflow documentation, cloud-based platforms, and tools used for process mapping, collaboration, and reporting. - Proven ability to manage multiple priorities, communicate effectively with cross-functional teams, and translate business needs into practical solutions. Benefits - $85,000 - $105,000+ annual based salary (depending on experience) - Comprehensive Medical, Dental, Vision, and Life coverage - Employer matching 401(k) plan - Generous PTO plan - Professional development and career advancement opportunities - Collaborative and growth-oriented work environment Company Description

• Research and analyze risk patterns occurred on Binance platforms, using data driven thinking and quantitative analysis methodologies to identify, measure, contain and mitigate risks (e.g. fraud trading, spam registration, account takeover, card acquiring risk and payment fraud). • Deploy, monitor and assess the effectiveness and stability of variables, rules and models, maintain and iterate the rules/strategies regularly to improve key risk matrix. • Liaising with various stakeholders to develop new rules and strategy with optimized balance between user experience and risk mitigation solutions • Business-Centric Strategic Analysis: Think and act like a business owner — leverage data analytics to identify opportunities that streamline compliance operations, reduce friction, and drive measurable efficiency gains. Translate complex regulatory and operational data into actionable insights that directly support the company's broader growth strategy. • Executive-Level Strategic Partnership: Serve as a trusted, objective thought partner to Compliance business leaders and senior management, helping define what 'success' looks like for the function. Co-develop north-star metrics, performance frameworks, and decision-making criteria that bridge compliance objectives with company-wide priorities. • Team Leadership & Impact Maximization: Lead and develop the Compliance Data Analytics team with a clear vision and high standards. Build a collaborative, high-performance culture where each team member's strengths are fully utilized — ensuring the team operates as a strategic force multiplier for the Compliance organization, not just a reporting function.