12 beste Stellen als student machine learning in bayern – aktuell auf Personalsuche

Junior Data Analyst & Data Operations Specialist (m/f/d)
REPA Deutschland GmbH —Bergkirchen
- Vollzeit
- Hybrides Arbeiten
- CRM-Software
- Microsoft Excel
- ERP-Systeme
- Kostenloser Parkplatz
- Flexible Arbeitszeiten
Direkt bewerben
14 Std.
Werkstudent (m/w/d) im Bereich Künstliche Intelligenz
Primetals Technologies Germany GmbH —Erlangen
- Teilzeit
- Informatik
- Englisch
- Master
- Flexible Arbeitszeiten
2 Tage
Training as an industrial mechanic [m/f/d]
SEHO Systems GmbH —Kreuzwertheim
- Flexible Arbeitszeiten
Trainee Business Consulting – Fokus Finance & Controlling (m/w/d)
cbs Corporate Business Solutions GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Englisch
- Master
- Machine Learning
- Weiterbildungsprogramme
Direkt bewerben
Bachelor-/Masterarbeit: KI im Sondermaschinenbau (m/w/d)
IEM FörderTechnik GmbH —Kastl
- Per E-Mail
- Datenanalyse
- Machine Learning
- Künstliche Intelligenz
Trainee SAP S/4HANA und Business Consultant – Fokus Finance & Controlling (m/w/d)
cbs Corporate Business Solutions GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Englisch
- Master
- Machine Learning
- Weiterbildungsprogramme
Direkt bewerben
Praktikant / Werkstudent Versicherungsmathematik (m/w/d)
B&W Deloitte GmbH —München
- Teilzeit
- Microsoft Powerpoint
- Microsoft Excel
- Englisch
- Aufstiegsmöglichkeiten
Duales Studium Data Science und Künstliche Intelligenz für den Start 2027
MTU Aero Engines AG —München
- Vollzeit
- Englisch
- Hochschulreife
- Machine Learning
- Gleitzeit
- Flexible Arbeitszeiten
7 Tage
Werkstudent / Praktikant / Abschlussarbeit (m/w/d) — Bildverarbeitung & Sensorsysteme
PARKVI GmbH —Augsburg
- Informatik
- Windows
- Mit Reiseanteil
- Kostenloser Parkplatz
- Flexible Arbeitszeiten
Werkstudent (m/w/d) DevOps/MLOps
Primetals Technologies —Erlangen
- Teilzeit
- Informatik
- DevOps
- Englisch
- Flexible Arbeitszeiten
4 Tage
(Senior) AI Engineer / MLOps Engineer (w/m/d)
Right Search —München
- 80.000 € – 100.000 € pro Jahr
- Hybrides Arbeiten
- Azure
- Informatik
- Master
- Mitgliedschaft im Fitnessstudio
- Flexible Arbeitszeiten
Direkt bewerben
3 Tage
Working Student (f/m/d) Unified Agentic Platform
Siemens Healthineers —Erlangen
- Teilzeit
- Hybrides Arbeiten
- Datenanalyse
- Forschungserfahrung
- Machine Learning
5 Std.

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Junior Data Analyst & Data Operations Specialist (m/f/d)

REPA Deutschland GmbH -
Bergkirchen

Direkt bewerben

Details zur Stelle

Vollzeit
vor 14 Stunden

Leistungen

Kostenloser Parkplatz
Legere Kleiderordnung
Jobticket
Flexible Arbeitszeiten

Qualifikationen

CRM-Software
Power BI
Microsoft Excel
ERP-Systeme
Datenbanken
SQL
Bachelor
Künstliche Intelligenz
Python
Analytik

Vollständige Stellenbeschreibung

Company Description

We are REPA Deutschland GmbH, part of the REPA Group - Europe's leading distributor of spare parts for the catering industry, commercial kitchens, refrigeration technology and more. With over 95,000 items from more than 2,000 manufacturers, we offer the largest range on the market. Our 6 warehouses in Europe, 9 locations and over 1,000 employees guarantee fast and reliable service. Our affiliation with Parts Town, the American market leader in high-tech spare parts distribution, gives us even more power. Together we ensure that everything runs smoothly - whether it's a coffee machine, refrigerator or combi-steamer.

Work location: Bergkirchen | From the end of 2027: Unterschleißheim

As a Junior Data Analyst & Data Operations Specialist, you will join our data operations team in Bergkirchen near Munich, Germany. This role is a strong starting point for someone who wants to build a career in data by learning through real business projects, practical tools and close collaboration with experienced colleagues.

You will work with product, operational and reporting data, supporting data quality, migration, reporting and automation activities. You will gain hands-on experience with Excel, Power BI, SQL, Power Query, Power Automate and AI-assisted productivity tools, with a clear development path toward roles such as Data Analyst, BI Analyst, Data Steward or Data Engineer.

Job Description

Data Quality & Governance

Maintain master, product and operational data across business systems, ensuring accuracy, completeness and consistency.
Perform data quality checks, identify duplicates, missing values and inconsistencies, and support root-cause analysis.
Support data mapping, cleansing, enrichment, bulk updates and migration activities from source review to post-load validation.
Document data definitions, validation rules, ownership and process guidelines.

Reporting & Analytics

Create and maintain basic reports and dashboards using Excel and Power BI.
Analyze datasets to identify trends, anomalies and improvement opportunities.
Use formulas, pivot tables, Power Query and basic DAX measures to prepare, summarize and validate data.
Provide clear insights, operational metrics and data issue updates to business stakeholders.

Automation & AI Enablement

Identify recurring manual data tasks that can be streamlined through Power Automate, Excel automation, templates or improved process design.
Support simple automation use cases such as file preparation, validation checks, data refreshes and exception tracking.
Use AI-assisted tools responsibly to improve productivity, documentation and data handling while respecting data protection expectations.

Collaboration & Stakeholder Support

Work with business, product and IT stakeholders to understand requirements and resolve data issues.
Communicate progress, risks and recommendations clearly.
Support cross-functional projects involving reporting, integration and data management.

Learning & Professional Development

Receive structured onboarding, hands-on coaching and regular feedback to help you grow step by step.
Learn how business data is created, maintained, transformed and used across ERP, PIM, CRM, reporting and master data platforms.
Build practical skills in SQL, Power BI, Power Query, DAX, data modeling, governance and automation.
Take part in training, documentation, knowledge-sharing and real business projects that build confidence and ownership.

Qualifications

Bachelor's degree, apprenticeship, vocational qualification or comparable practical experience in Business Analytics, Data Analytics, Information Systems, Computer Science, Engineering, Mathematics, Economics, Business Administration or a related field.
Strong interest in data management, analytics, digital tools and business process improvement.
Good Excel skills and basic understanding of databases, structured data or reporting concepts; including pivot tables, lookup functions, data validation and structured formulas, initial SQL knowledge is an advantage.
Structured, reliable and detail-oriented working style with the ability to follow documented processes quality checks, and reliable approach when working with large datasets.
Exposure to Power BI, SQL, Python, Power Automate, Power Query or database concepts through study, internships, working student roles or projects, is an advantage
First experience with data, reporting, operations, supply chain, e-commerce, product data or analytics is a plus.
Knowledge of ERP, PIM, CRM, data warehouse, reporting or master data systems is beneficial.
Strong attention to detail, analytical thinking and commitment to data accuracy.
Proactive learning mindset, openness to feedback and curiosity about new technologies.
Clear communication and ability to collaborate with cross-functional teams.
Strong communication skills in English; German (B1/B2+) is highly desirable for effective collaboration in the local business environment.

Additional Information

In addition to a secure job in an internationally successful, fast-growing and family-friendly group of companies, you can also expect:

Attractive remuneration package including Christmas and vacation pay
30 days vacation
Hybrid working model with flexible working hours and flexitime account in a 40-hour week
Company pension scheme
Canteen with subsidized lunch
Team member appreciation
Individual training and development opportunities
Casual dress code
Regular employee events
Employees recruit employees-bonus
Corporate benefits
Job ticket
Free employee parking spaces
All the traditional benefits like health insurance, paid time away while you re-energize – don’t worry, we’ve got you covered

REPA welcomes diversity and is an equal opportunities employer. All qualified applicants are considered regardless of race, religion, skin color, national origin, gender, age, sexual orientation, gender identity or disability.

Do you have questions? We will be happy to answer them! Please send an e-mail to Nadine: [email protected].

Have we sparked your interest?
Then apply today! We look forward to receiving your online application. :-)

Direkt bewerben

Erweiterte Suche

student machine learning Jobs in bayern

Junior Data Analyst & Data Operations Specialist (m/f/d)

Werkstudent (m/w/d) im Bereich Künstliche Intelligenz

Training as an industrial mechanic [m/f/d]

Trainee Business Consulting – Fokus Finance & Controlling (m/w/d)

Bachelor-/Masterarbeit: KI im Sondermaschinenbau (m/w/d)

Trainee SAP S/4HANA und Business Consultant – Fokus Finance & Controlling (m/w/d)

Praktikant / Werkstudent Versicherungsmathematik (m/w/d)

Duales Studium Data Science und Künstliche Intelligenz für den Start 2027

Werkstudent / Praktikant / Abschlussarbeit (m/w/d) — Bildverarbeitung & Sensorsysteme

Werkstudent (m/w/d) DevOps/MLOps

(Senior) AI Engineer / MLOps Engineer (w/m/d)

Working Student (f/m/d) Unified Agentic Platform

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