20 beste Stellen als machine learning in wesseling – aktuell auf Personalsuche

BI & Reporting Specialist (m/f/d)
Deutsche Post & DHL —Bonn
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11 Tage
Quereinstieg als Prompt Engineer (m/w/d) – 100% remote
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Data Scientist* Inputmanagement
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Wissenschaftliche*r Mitarbeiter*in (w/m/d)
Universität zu Köln —Köln
- Teilzeit
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amber —Köln
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parcIT GmbH —Köln
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Consultant (m/f/d) - Data & AI Engineering
Scalefree International GmbH —Köln
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Direkt bewerben
13 Tage

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machine learning jobs near wesseling

BI & Reporting Specialist (m/f/d)

Deutsche Post & DHL -
Bonn

Jetzt bewerben

Details zur Stelle

vor 11 Tagen

Leistungen

Betriebsarzt/Betriebsärztin

Qualifikationen

Power BI
Oracle
Cloud-Architektur
SQL
Machine Learning
Scrum
Agile
Fracht
Künstliche Intelligenz

Vollständige Stellenbeschreibung

Keep the World Moving. Grow your Career.

We are DHL Freight - a group of 13,000 road cargo experts and Certified Freight Specialists operating in more than 40 countries, who are proud to provide their customers with the best overland freight transport solutions. We are always looking ahead to the next commercial opportunity, anticipating the next global trend. Because at DHL Freight, we're not simply about freight forwarding. We're about forward-thinking ways to connect people - and improve their lives.

Join the DHL Freight Global team as a BI & Reporting Specialist (m/f/d) at our Head Office in Bonn.

In this role, you will elevate our Data Analytics and BI landscape to drive Accelerated Digitalization, serving as the strategic interface between business needs and IT execution. Guiding our transition to a modern cloud architecture (Snowflake/Power BI), you will champion our 'Information Democratization' journey by establishing data governance, enabling governed self-service, and laying the groundwork for AI-driven predictive analytics at DHL Freight.

Your tasks:

Strategic Business Partnering: Act as the primary interface between Business and IT, translating complex business steering requirements into clear logical models for our new Unified Semantic Layer.
Data Governance & Ownership: Act as the end-to-end process owner and guardian of the "Single Source of Truth." Define, standardize, and govern KPI logic to ensure absolute data consistency across the network.
Cloud & Self-Service Enablement: Support the strategic migration from legacy Oracle reporting (OAS) to our modernized Snowflake/Power BI ecosystem. Empower business users by designing governed self-service data models that allow for autonomous, multi-dimensional analysis.
AI & Advanced Analytics Adoption: Pioneer the business application of future-ready capabilities, identifying use cases for predictive analytics, self-service, and conversational AI (e.g., Snowflake Cortex) to proactively drive business value.
Quality Assurance & Validation: Rigorously analyze and validate data outputs to ensure high data quality, reliability, and trust in the new reporting landscape. Design and manage User Acceptance Testing (UAT) for newly developed solutions.
Agile Collaboration: Act as an effective contributor and business proxy within our Agile/SCRUM development pipelines, ensuring that technical deliverables perfectly align with organizational priorities and targets.

Our perfect match:

You hold a degree in analytical discipline (Engineering, Mathematics, Finance, IT, or Business Administration with a strong data focus).
You have knowledge in overland freight or broader supply chain/logistics operations, allowing you to intuitively grasp operational business needs.
You have hands-on experience in modern BI visualization tools (Power BI is highly preferred) and a good grasp of SQL for data querying and validation.
You possess a conceptual understanding of modern cloud data platforms (like Snowflake) and the principles of unified semantic layers and governed data models.
You show a strong passion for the future of analytics, with an active interest in how AI, machine learning, and predictive models can be leveraged to optimize business processes.
You are experienced in working within Agile/Scrum methodologies.
You possess excellent stakeholder management skills (fluent in English, both spoken and written), with the ability to translate technical constraints to the business and business value to IT.

Our culture and benefits:

DHL Freight is a TOP EMPLOYER® and Great Place to Work across Europe. Our corporate culture is focused on personal commitment – to our customers, to each other, to our communities and to the environment. We reward excellent work, and we nurture the talents of our employees. This enables you as an employee to develop your expertise and your career in different areas or divisions – and even in other countries. We are committed to creating a workplace that ensures mutual respect and is focused on results. We hire talented people from all backgrounds – irrespective of gender, disability, nationality, ethnicity, social background, religion and beliefs, age or sexual orientation and identity. Diversity enriches our workplace, drives our success, and helps us deliver excellence. DHL Freight is an equal opportunity and inclusive employer

Additionally, this is what you can expect:

Flexible working conditions incl. the opportunity of mobile work
An international team with colleagues from over 30 different countries
Wellbeing offers: fresh fruit, visits by company doctor, workshops on mental well-being, free and confidential access to counselling and assistance with elderly and child care, sports and well-being app
Numerous corporate discounts and memberships
Free access to online learning portal coupled with extensive learning and development opportunities within the DHL Group
And much more…

Your contact:

Nisha Pillay will be happy to answer your questions at [email protected].

Be part of our global strategy “Simply Grow!” and contribute directly to our ambitious growth agenda while supporting our continuous improvement journey.

Please click on apply and send us your complete application.

#LI-FREIGHT

YOUR FUTURE, DELIVERED.

Jetzt bewerben

Erweiterte Suche

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Product Owner KI (m/w/d) (Voll- oder Teilzeit)

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Wissenschaftlicher Mitarbeiterin (w/m/d)

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Ich möchte aktuelle Job-E-Mails für Stellen als machine learning in wesseling erhalten

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