20 beste Stellen als science specialist in berlin, be – aktuell auf Personalsuche

Business Analyst, Delivery Promise (m/w/x)
Autodoc —Berlin
- Hybrides Arbeiten
- Bachelor
- Flexible Arbeitszeiten
Direkt bewerben
9 Tage
AI & Automation Specialist (m/w/d)
SIXT Germany —Berlin
- Vollzeit
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Direkt bewerben
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KNIME AG —Berlin-Kreuzberg
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Data Scientist (w/m/d)
Kienbaum Consultants International GmbH —Berlin
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on-geo GmbH —Berlin
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Duales Studium B.Eng. Wirtschaftsingenieurwesen (m/w/d) in Berlin (2026)
Vodafone —Berlin
- 1.242 € – 1.358 € pro Monat
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Engineer or Researcher in Fibre Optics/Photonics (d/f/m)
Leibniz Institut für Astrophysik —Potsdam
- Teilzeit
- Doktorat
- Master
- Flexible Arbeitszeiten
Senior CRM Specialist
Neuronation —Berlin
- Vollzeit
- Kostenbeteiligung am Arbeitsweg
Direkt bewerben
Power BI Specialist für die LEAG Clean Power GmbH (m/w/d)
Lausitz Energie Bergbau AG —Berlin
- Microsoft Powerpoint
- Informatik
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Medical Affairs Manager (m/f/d)
Novanta —Berlin
- Vollzeit
- Doktorat
- Master
Sales Specialist (f/m/d) - Advanced Silicones Technology - One-Year-Contract
Avantor —Berlin
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Technical Support Specialist – French Market
Geotab —Berlin
- Wochenendarbeit möglich
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Direkt bewerben
Wissenschaftlicher Mitarbeiter Cybersecurity & AI Defense (w/m/d)
Kienbaum Consultants International GmbH —Berlin
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Software Engineer | Focus Data Science & Data Management (w/m/d)
Kienbaum Consultants International GmbH —Berlin
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- Azure
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Agentic AI Specialist (m/w/d)
DCMS Service GmbH —Berlin
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B2B Customer Operations Specialist EMEA (m/f/d)
Corning —Berlin
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System Specialist Document Management (m/w/d)
RHEINMETALL —Berlin
- Informatik
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Robotics Engineer - Vision Language Action Model
Sensmore —Berlin
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PhD position (m/f/x) - Data Intensive Internet Computing
Hasso-Plattner-Institut für Digital Engineering gGmbH —Potsdam
- Vollzeit
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- Master
Senior AI Engineer (ML/Data Science Specialist)
Sloboda Studio —Berlin
- Master

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Business Analyst, Delivery Promise (m/w/x)

Autodoc -
Berlin

Direkt bewerben

Details zur Stelle

vor 9 Tagen

Leistungen

Betriebliche Altersvorsorge
Flexible Arbeitszeiten

Qualifikationen

Bachelor
Supply Chain Management

Vollständige Stellenbeschreibung

Popis společnosti

Engineered in Berlin. Driving the Future of Europe.

At AUTODOC, we are proud to be a homegrown European success story. Founded in Berlin in 2008 and still headquartered in the heart of the continent today, we have evolved from a local specialist into Europe’s leading online platform for the automotive aftermarket.

Our strength lies in our unique identity: we are a digital-first, e-commerce powerhouse with strong German roots and an expansive reach across 27 European countries. This continental focus allows us to blend our heritage with high-tech innovation, staying agile and closely connected to the markets we serve.

Today, our team of more than 5,500 professionals from over 50 different countries is redefining mobility through cutting-edge technology. Bring your talent and expertise to a company that is building a sustainable, tech-driven future for drivers everywhere.

Come join us and impact the future of AUTODOC!

Popis nabídky práce

When a customer orders a product, the "Estimated Delivery Date" (EDD) isn't just a number, it’s a commitment. As our Business Analyst for Delivery Promise, you will own the data engine driving EDD precision and End-to-End (E2E) cycle time.

We are seeking a Business Analyst, Delivery Promise to join our Fulfillment Excellence Team. This role focuses on maintaining and improving our Estimated Delivery Date (EDD) accuracy and the End-to-End (E2E) Total Cycle Time data infrastructure.

By combining data analytics with project management, the candidate will identify the root causes of operational delays and translate data insights into cross-functional corrective measures. This position impacts delivery reliability, customer satisfaction, and supply chain efficiency.

Key Responsibilities

EDD Model Development & Implementation: Design, build, test, and deploy predictive EDD models (focusing on optimizing protection buffers) across delivery regions. Collaborate with Data Science, Logistics, and IT teams to integrate these models into existing systems and refine them based on operational feedback.

Performance Reporting & Analysis: Monitor delivery performance metrics, specifically EDD accuracy and E2E Total Cycle Time. Utilize SQL, Excel, and Power BI to build dashboards, conduct trend analyses, and perform root-cause bucketization to categorize delivery delays.

Process Improvement: Partner with cross-functional teams across Operations, Supply Chain, and Customer Service to identify operational inefficiencies. Design and implement solutions to improve delivery reliability and align cycle-time performance with business objectives.

Stakeholder Management & Communication: Serve as the point of contact for EDD and cycle-time performance. Translate data into business insights and collaborate with cross functional teams (Vendor Operations, Warehouse teams, Last Mile transportation) to manage end-to-end supply chain impacts.

Kvalifikace

Experience: A minimum of 3 years of professional experience in a data analytics role, preferably within Supply Chain, Logistics, or Operations.
Education: Bachelor’s degree in Supply Chain Management, Data Science, Engineering, or a related quantitative discipline.
Technical Proficiency: Proficiency in SQL, Excel, and Power BI for data extraction, manipulation, and visualization.
Analytical Capabilities: Experience in KPI monitoring, root-cause analysis, and data-driven process optimization.
Project Management: Cross-functional collaboration and stakeholder management skills, with the ability to drive initiatives across multiple departments.
Advanced Tech: Familiarity with advanced data ecosystems, including knowledge of programming languages (e.g., Python, R), exposure to ML orchestration, or experience operating in cloud data warehouse environments (e.g., Snowflake, BigQuery) is nice to have.
Languages: Full professional proficiency in English (both written and verbal) is mandatory; German, Czech, Polish, or Russian is nice to have.

Další informace

Vacation: Annual vacation of 30 calendar days and 1 additional day off on your birthday.
Wellbeing: Mental Wellbeing Program.
Growth: Learning & Development opportunities (over 650 courses on soft and hard skills on our e-learning platform).
Perks: AUTODOC Corporate Discount.
Language Classes: Free English and German language classes (after probation period).
Flexibility: Flexible working hours and hybrid work model.
Future Security: Company pension scheme (Betriebliche Altersvorsorge mit Allianz).

This job was posted on 21. 8. 2026, and is considering applications up to 6 weeks from this date.

Direkt bewerben

Erweiterte Suche

science specialist Jobs in berlin, be

Business Analyst, Delivery Promise (m/w/x)

AI & Automation Specialist (m/w/d)

Senior HR Specialist - Recruiting & Onboarding (m/f/d) in Berlin or Konstanz

Data Scientist (w/m/d)

AI Solutions Specialist (m/w/d)

Duales Studium B.Eng. Wirtschaftsingenieurwesen (m/w/d) in Berlin (2026)

Engineer or Researcher in Fibre Optics/Photonics (d/f/m)

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Software Engineer | Focus Data Science & Data Management (w/m/d)

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Robotics Engineer - Vision Language Action Model

PhD position (m/f/x) - Data Intensive Internet Computing

Senior AI Engineer (ML/Data Science Specialist)

Ich möchte aktuelle Job-E-Mails für Stellen als science specialist in berlin, be erhalten

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