Aufgaben: Verantwortung, Bereitstellung und Weiterentwicklung neuer und innovativer Fertigungstechnologien Programmierung von Werkzeugmaschinen (CNC- und Robotersysteme) Erstellung und Pflege von technischen Reports, u.A. für die Auswertung der Fertigungsprozessstabilität Planung und Durchführung von Produkt- und Prozessqualifizierungen in Zusammenarbeit mit diversen Schnittstellen Durchführung von Verbesserungsprojekten in der Fertigung Bereitstellen der Arbeitsmittel für die Fertigung, z.
Logistik/Versand) sowie Erfahrung in Datenabruf und Datenverarbeitung über Snowflake Praxis im Einsatz von Automatisierungs- und Analysewerkzeugen wie Alteryx (Workflows, Datenaufbereitung), SQL (einfache bis mittlere Abfragen), idealerweise UI Path Kenntnisse in der Microsoft Power Platform (Power Apps, Power Automate, Power BI), inkl. Grundverständnis für Datenmodelle, Layouts, Reports Basiswissen in Logistik und Versand (Versandprozesse, Lieferpapiere, Stammdaten, Material /Lieferungsstrukturen) Strukturierte, analytische und selbstständige Arbeitsweise sowie hohe Lernbereitschaft und Freude an Prozessoptimierung Sprachkenntnisse: Deutsch sehr gut, Englisch gut Sie profitieren an dem exklusiven Zugang zu interessanten Unternehmen und spannenden Projekten in Zusammenarbeit mit Hays als einem soliden und stabilem Partner Vergütung im Tarifvertrag der Branche (GVP) Jährlicher Urlaubsanspruch von 30 Tagen Arbeitszeitkonto mit der Möglichkeit zur Auszahlung von Überstunden oder Freizeitausgleich Professionelle und vertrauensvolle Zusammenarbeit Ihr Kontakt Ansprechpartner Tobias Leidig Referenznummer 862813/1 Kontakt aufnehmen E-Mail: tobias.leidig@hays.de Anstellungsart Anstellung bei der Hays Professional Solutions GmbH
Your tasks: Leading the facilitation of the risk management process ensuring risk data are kept up to date according to ISO31000:2018 standards Engaging project teams proactively in risk management requirements and establishing a risk management culture Developing Risk Management Plans, maintaining risk registers, and preparing risk reports and analyses to support decision making Automating and increasing efficiency in risk management processes, tools, and templates Leading risk workshops with project teams, partners, and clients Integrating Quantitative Risk Analysis (QRA) methodology for Cost and Schedule, helping management interpret results and make decisions Ensuring consistency of approach and knowledge sharing across projects Your qualification: University degree in Engineering, Project Management, Statistics, Economics, Business Management, or related fieldProven experience in large engineering projects and consultancy environments with expertise in designing and leading risk management frameworksExpertise in Quantitative Cost and Schedule Risk Analysis (QCSRA) and proficiency with industry tools (@risk, Safran, ARM, Xactium)Mastery of MS Office tools and strong analytical skills to interpret complex technical informationExcellent project management, team collaboration, and communication skills in English; German is an advantage We offer you: A permanent employment contract Competitive remuneration Flexible working hours and home office options Opportunities for professional development and training Show us what drives and motivates youapply now and become part of our inspiring corporate culture!
Ihre Aufgaben Ansprechpartner (m/w/d) für Vorgesetzte und Fachabteilungen bei Fragen rund um das Thema Personal und RechtErstellung von Arbeitsverträgen, Zeugnissen und anderen personalrelevanten SchreibenVertrauensvolle Zusammenarbeit mit dem BetriebsratWeiterentwicklung von HR-ProzessenPlanung und Umsetzung von Ausbildungs- und WeiterbildungsmaßnahmenAbwicklung von AuslandsentsendungenMitarbeit im RecruitingBearbeitung des TagesgeschäftsErstellung von Statistiken und weiteren Reports Ihr Profil Erfolgreich abgeschlossenes betriebswirtschaftliches Studium und/oder abgeschlossene Weiterbildung als Personalfachkaufmann (m/w/d)Mehrjährige Berufserfahrung als Personalreferent (m/w/d) und in den genannten AufgabenbereichenErste Erfahrung in der vorbereitenden Lohnbuchhaltung und AuslandsentsendungenKenntnisse im ArbeitsrechtGute Sprachkenntnisse in Englisch (Wort und Schrift) und gute Deutschkenntnisse erforderlichSicherer Umgang mit MS OfficeKommunikationsstärke und Verhandlungsgeschick Wir bieten Ihnen ein attraktives und übertarifliches Vergütungspaket inklusive Urlaubs- und Weihnachtsgeld laut Tarifvertrag sowie einen Urlaubsanspruch von 30 Tagen im Kalenderjahr, einen unbefristeten Arbeitsvertrag, flexible Arbeitszeiten, Weiterbildungen, Entwicklungsmöglichkeiten, Homeoffice-Möglichkeit, Freizeitausgleich für geleistete Überstunden und hervorragende Übernahmechancen von 95%.
Für den Bereich der Turbinenmontage (m/w/d) suchen wir Dich, um das Team tatkräftig zu unterstützen. Deine Aufgaben: Beseitigen von Ablaufstörungen im Prozess Report der Störungsbeschreibungen an den TeamleiterPrüfen und Kontrolle von Maßgenauigkeit, Beschaffenheit und Vollständigkeit der Werkstücke (Werkerselbstkontrolle) Report von Abweichungen an den Vorgesetzten Ausführung von Nacharbeiten (u.a.
Für den Bereich der Turbinenmontage (m/w/d) suchen wir Dich, um das Team tatkräftig zu unterstützen. Deine Aufgaben: Beseitigen von Ablaufstörungen im Prozess Report der Störungsbeschreibungen an den TeamleiterPrüfen und Kontrolle von Maßgenauigkeit, Beschaffenheit und Vollständigkeit der Werkstücke (Werkerselbstkontrolle) Report von Abweichungen an den Vorgesetzten Ausführung von Nacharbeiten (u.a.
Für den Bereich der Turbinenmontage (m/w/d) suchen wir Dich, um das Team tatkräftig zu unterstützen. Deine Aufgaben: Beseitigen von Ablaufstörungen im Prozess Report der Störungsbeschreibungen an den TeamleiterPrüfen und Kontrolle von Maßgenauigkeit, Beschaffenheit und Vollständigkeit der Werkstücke (Werkerselbstkontrolle) Report von Abweichungen an den Vorgesetzten Ausführung von Nacharbeiten (u.a.
. • Develop and maintain project documentation, including project plans, status reports, and risk assessments. • Facilitate workshops and internal meetings on projects to ensure effective adoption of planning solutions. • Stay updated on industry trends and advancements in SAP S4 PP/DS to provide innovative solutions to our manufacturing challenges. • Support the integration of planning solutions with other SAP modules and systems as needed
Conduct initial calculations and prepare business cases for Group Controlling. Create reports, analyses, and decision-support materials. Prepare internal and external presentations. Maintain accurate data in the CRM system.
Your Responsibilities: Supporting supply chain processes in the context of M&A integrations and tech transfers, including further development of processes Guiding and training junior specialists and coordinating cross-functional project teams Coordinating with internal and external partners and contract manufacturers to ensure smooth integration and efficient operations (e.g., in conference calls and on-site meetings) Ensuring product availability in key markets: Overall overview and monitoring of production, transport, or release status down to the warehouse Preparing and presenting decision-relevant analyses, reports, and recommendations for action to senior management. Presenting project progress and critical issues to steering committees Your Profile: Completed degree in business administration, engineering, or a comparable field Required professional experience: 5 years, ideally in the area of supply chain or project management Alternatively, you have experience in regulatory affairs, quality assurance, or pharmacovigilance You already have some experience in coordinating cross functional teams and complex projects You are characterized by analytical thinking and a structured and results-oriented approach to work You communicate and negotiate confidently in German and English and have a good working knowledge of MS Office; knowledge of SAP is an advantage Your way of working is proactive, solution-oriented and communicative Unser Angebot: A growing company with a diverse and open-minded working environment with employees from around 40 different countries Flexible working models adapted to your needs (e.g. up to 100% remote working and up to two months from abroad within the EU possible), working time account with time off in lieu, 30 days' holiday Flexible benefits budget that you can use according to your individual preferences, such as a higher employer contribution to the company pension scheme, fitness & health offers or subsidies for travel or meal costs.
Furthermore, the team is responsible for building an ETL platform used by other stakeholders and the team itself, such as for generating financial reports. What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least seven years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Benefits Hybrid working Täglich frisches Obst Sportkurse Freier Zutritt zur code.talks Exklusive Mitarbeiter Rabatte Kostenlose Getränke Sprachkurse Kostenloser Laracasts Account Company Events Relocation Unterstützung Mobilitätszuschlag State-of-the-art Technologien Zentrale Lage Flexible Arbeitszeiten Betriebliche Altersvorsorge Weiterbildungs- angebote Hunde erlaubt AY Academy Feedbackkultur Firmenfahrrad YOU ARE THE CORE OF ABOUT YOU.
Furthermore, the team is responsible for building an ETL platform used by other stakeholders and the team itself, such as for generating financial reports. What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least two years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg or Berlin on a weekly basis.
As a Principal position, this role requires a high degree of autonomous working and reports directly to the Director of Engineering. You will be the primary technical lead responsible for all app teams, driving technical discussions and ensuring our solutions are robust and forward-thinking.
Own and continuously improve the sorting & ranking logic by balancing commercial KPIs (e.g. conversion, revenue, margin), customer relevance, and operational constraints Work data-driven, leveraging A/B testing, reports, and analyses to derive actions that are truly oriented towards customer needs and business impact Collaborate closely with Data Science and Engineering to implement scalable, performant, and AI-supported ranking solutions Manage and communicate with all relevant stakeholders across Business, Tech, and Analytics Translate stakeholder demands, commercial goals, and operational requirements into actionable and scalable product solutions Triage operative issues, identify technical dependencies, and evaluate business impact Lead cross-team initiatives and collaborate closely with other Tech Teams (e.g.