Strong communicator: You can communicate transparently, honestly, and effectively with both technical and non-technical stakeholders (e.g. Product, Design). Team player: You actively share knowledge, inspire other team members, and aim to fulfill team goals.
Strong Communicator: Ability to communicate transparently, honestly, and effectively with both technical and non-technical stakeholders (e.g., Product, Design). Team Player: Actively shares knowledge, mentors other team members, and is focused on achieving collective team goals.
Strong communicator: You can communicate transparently, honestly, and effectively with both technical and non-technical stakeholders (e.g. Product, Design). Team player: You actively share knowledge, inspire other team members, and aim to fulfill team goals.
What you will do Gather, analyze, and interpret data to fulfill reporting requests from business stakeholders Translate complex data into clear, actionable insights that support business strategy Support ad hoc analysis and contribute to data-driven decision-making Automate routine reporting processes and maintain existing reports to ensure reliability and improve data workflows Maintain, design, and implement advanced dashboards using tools like Google Looker Studio, enabling self-service analytics across the organization Collaborate with data engineers, data scientists, and stakeholders across the organization to ensure data quality and consistency while delivering data-driven insights that support supply-related business decisions Communicate findings effectively to technical and non-technical audiences Foster a data-driven culture within the organization, promoting the use of analytics in decision-making processes Who you are You have at least 1-2 years of experience as a Data Analyst Proficiency in SQL for complex data analysis, reporting, and querying large datasets Experience with Google BigQuery Experience with data visualization tools (e.g., Looker Studio, Excel, or similar) to create compelling dashboards and reports Excellent communication skills in English Ability to translate fuzzy business requirements from diverse stakeholders into analytical requirements.
You will work closely with internal stakeholders, SAP environments, and the Osapiens cloud platform, acting as a central point for translating technical and functional requirements into implementable solutions. YOUR TASKS • Assisting in IT projects, ensuring deliverables align with business goals and timelines • Analyzing functional and technical requirements and translating them into clear, structured specifications • Evaluating implementation effort, timelines, dependencies, and cost-related aspects of system enhancements and integrations • Preparing decision-relevant documentation to support prioritization and implementation planning • Coordinating with internal IT teams, external partners, and developers to ensure aligned and efficient implementation • Configuring systems based on customer needs and supporting custom developments • Participating in testing phases (integration testing and UAT) to ensure system readiness before go-live • Providing guidance during go-live and supporting post-implementation stabilization • Working across SAP and non-SAP environments with diverse industries and markets YOUR PROFILE • Bachelor’s degree in Business Informatics, IT, or a related field, or equivalent practical experience • Experience in IT consulting, application consulting, or IT project environments • Basic understanding of maintenance and field service processes • Knowledge of SAP PM, CS, and MM, with a solid understanding of SAP system landscapes • Ability to understand technical complexity and assess implementation implications • Experience in translating requirements into actionable and decision-ready documentation • Strong communication skills and the ability to coordinate and align multiple stakeholders • Structured, analytical working style with a high sense of responsibility • Familiarity with agile methodologies is an advantage • Very good communication skills in English (written and spoken) DEINE BENEFITS Nordex bietet eine Vielzahl an attraktiven Benefits – hier findest du einen Auszug dessen, was Dich bei uns erwartet.
You have good communication and presentation skills, you can explain technical terms in non-technical language Fluent English skills (spoken & written) Nice to have: Certificates: Trainings from SANS / GIAC, OffSec OSIR, HackTheBox / TryHackMe incident response challenges Knowledge of Laravel / PHP.
YOUR TASKS Implement quality methodologies and procedures at the buffer yards, ensuring strict adherence to the quality control plan Supervise the proper execution of various subprocesses at the buffer yards Inspect incoming components such as concrete tower segments and tower internals Conduct audits on the installation of tower internals within stored tower segments Perform final inspections of the concrete tower before handing over to the Project Management organization Identify, document, and manage non-conformities arising during storage at the buffer yards Report daily on the progress and quality status of construction activities Participate in cross-functional meetings within the concrete tower structure to support project execution Coordinate tasks and activities at the buffer yards with the global quality team YOUR PROFILE Completed vocational training in a technical field (e.g. construction materials testing, concrete technology, or similar); further qualification as a certified technician in civil engineering or quality management is an advantage Experience with concrete and/or quality procedures is an asset English proficiency at B2 level and strong communication skills German proficiency at C1 level Team-oriented mindset YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g.
Experience with quality procedures High English level Resolution of possible technical issues Communication skills Capable to work in teams A driving license valid in Germany is required Residence in Germany is mandatory (relocation support will be provided upon acceptance of an offer) Willingness to travel: You are ready to travel and work flexibly on-site according to project requirements.
Experience with quality procedures High English level Resolution of possible technical issues Communication skills Capable to work in teams A driving license valid in Germany is required Residence in Germany is mandatory (relocation support will be provided upon acceptance of an offer) Willingness to travel: You are ready to travel and work flexibly on-site according to project requirements.