Als Anprobe/Fitting Model Damenkleidung (m/w/d) freuen Sie sich auf folgende Aufgaben
- Sie probieren im Rahmen der Qualitätsentwicklung zur internen Passform-Überprüfung unsere Damen-Kleidung an.
- Keine öffentlichen Fotoaufnahmen bzw. Laufstegpräsentationen
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Die Rolle
- Master’s degree or PhD in a quantitative field (e.g., Statistics, Mathematics, Computer Science) and relevant experience in quantitative analytics or statistics (e.g., from internships or part-time roles).
- Advanced skills in statistical modelling (R, Python) and experience with database languages (e.g., SQL).
- Strong knowledge of statistical techniques such as regression, classification, and hypothesis testing.
- Ability to create clear, insightful visualizations (e.g., ggplot, R Shiny, Data Studio) and present complex topics in an understandable way.
- Strong communication and interpersonal skills, with a passion for continuous learning and personal development.
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Purpose & key responsibilities of the role
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You will design and implement Commercial Excellence programs to enhance value-based selling practices -
You will develop strategies to target customers by industry, needs, and profitability to optimize commercial efforts -
You will lead projects to enhance sales effectiveness, collaborating closely with business unit teams in Textile and Nonwovens -
You will ensure standardized and user-friendly sales reporting that facilitates effective decision-making -
You will drive the ongoing development and adoption of new or improved sales management tools and processes
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Purpose & key responsibilities of the role
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You will coordinate the forecast process with the relevant stakeholders, including preparation of the Group forecast (P&L, BS, CF) on the basis of central value drivers and the forecasts of the individual companies -
You will takeover co-responsibility for our annual budget and mid-term planning process including support in strategic decision-making, collaboration with various departments and presentation to the top management -
You will conduct analysis of monthly, quarterly and annual financial statements, as well as planning and commenting as part of management reporting -
You will provide strategic & operational planning and the derivation & tracking of measures; and you will create, and offer critical scrutiny of, business plans -
You will undertake further development of management models and controlling processes, especially planning processes -
You will participate in ad-hoc analyses, evaluations, and the preparation of presentations for decision-makers
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Purpose & key responsibilities of the role
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You will plan, lead and conduct internal audit activities throughout the Lenzing Group (at Headquarters; on group level; or at individual sites) in an efficient and flexible manner, keeping to best practice, respecting internal audit standards, and maintaining a high degree of confidentiality and independent auditor’s opinion -
You will report directly to the Senior Director of Corporate Audit & Risk Management, providing information about ongoing activities, risk detection, and any other relevant details for audit conduct or planning -
You will cooperate with auditees and with other departments as well as top management -
You will be involved in the yearly audit planning on a risk-based approach; contribute to reporting activity towards the Board of Directors and Supervisory Board; and participate in knowledge-sharing and improvement process of auditing process as well as internal consulting services to improve the control environment -
You will follow up on audit recommendations and actions (to be carried out by auditees)
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Purpose & key responsibilities of the role
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You will contribute to the forecast process with the relevant stakeholders, including preparation of the Group forecast (P&L, BS, CF) on the basis of central value drivers and the forecasts of the individual companies -
You will be responsible for HR/Personnel cost controlling -
You will take over responsibility for sub-processes in our annual budget and mid-term planning process including support in strategic decision-making, collaboration with various departments and presentation to the top management -
You will conduct analysis of monthly, quarterly and annual financial statements, as well as planning and commenting as part of management reporting -
You will provide strategic & operational planning and the derivation & tracking of measures; and you will create, and offer critical scrutiny of, business plans -
You will undertake further development of management models and controlling processes, especially planning processes -
You will participate in ad-hoc analyses, evaluations, and the preparation of presentations for decision-makers
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Your future responsibilities
- Design RF and Microwave Analog / AMS circuits using advanced sub-micrometer technologies.
- Create and execute verification plans at block- and module-level (e.g., TX channel).
- Model the Analog Circuits for Module and Chip-Top/SoC verification.
- Ensure functionality and performance of fabricated silicon through definition & execution of laboratory measurement campaigns.
- Lead research projects and support larger European-level initiatives.
- Represent the SAL Project Team internally and externally, maintaining contact with partners and customers.
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RESPONSIBILITIES
- Support the formulation of technology strategy in response to spotted disruptive external or internal forces and its operationalization.
- Drive IT Landscape Engineering through proactive and deliberate management of the IT landscape beyond investment planning horizons. This involves operationalizing strategy, identifying drivers for change, and defining architecture directions to address these with stakeholders.
- Analyze business strategy and business future-state capabilities to identify Strategic Themes to detect gaps and opportunities for improvement in the current IT Landscape in line with the IT Strategy to enable the business achieving targeted outcomes.
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RESPONSIBILITIES
- 4+ years of experience in Data Science. Previous experience working as a Machine Learning Expert is a plus
- Masters or Doctorate in relevant field, for instance: Mathematics, Statistics, Science (including data, behavioural, social, econ, ...)
- Good command of English, both spoken and written. German a plus
- Programming: know at least one of R, Python, SQL with the ability and willingness to learn the other two
- Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly
- Statistical Reasoning: theoretical and applied understanding of Stats, Probability and ML Algorithms and know how to use these tools to reduce uncertainty in a business context (regression, visualization)
- Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …)
- Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience
- Stakeholder Management: skilled at building mutually beneficial connections with functional stakeholders
- Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly
- Outcome Driven: highly motivated to add value and to demonstrate that impact to the organization
- Scientific Reasoning/ Scoping: ability to define and formulate new questions, in addition to answering given ones
- Grit: proven capability to see things through to the end even if initial feedback is discouraging
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