Job
- Level
- Experienced
- Job Field
- BI
- Employment Type
- Part Time/Full Time
- Contract Type
- Temporary employment
- Location
- Kamen
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will transform legacy data into new structures, analyze product and revenue data, and prepare these for SAP. You will also communicate closely with international teams and document your results accurately.
Job Technologies
Your role in the team
- Conversion and processing of legacy data into new data structures.
- Analysis, comparison, and quality assurance of product, revenue, and margin data.
- Matching different product codes and transferring them into uniform structures.
- Preparation and transfer of the cleaned data into SAP.
- Close coordination with international colleagues, especially in Brazil (later also in Portugal and China).
- Communication and technical clarifications with the international contacts in English.
- Documentation of the results and handover of the data for internal further processing.
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Our expectations of you
Education
- Advanced studies, ideally in one of the following fields: Industrial Engineering, Geography, Physics, Mathematics, or a comparable data-oriented discipline.
Qualifications
- Excellent analytical skills and a strong affinity for numbers.
- Structured, meticulous, and reliable work approach.
- Excellent Excel skills.
- Excellent spoken and written English skills for coordination with international contacts.
- Enjoyment in data analysis, system comparisons, and international collaboration.
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What we offer
- 30 days of annual leave including holiday pay.
- Remuneration according to the collective agreement of the Metal and Electrical Industry NRW, including Christmas and holiday bonuses.
- Option for remote work.
- Flexible and family-friendly working hours with digital time tracking.
- Free company parking and excellent public transport connections.
- Employee discounts at over 400 partner companies.
- Discounted employee catering.
- VAHLE-specific social benefits, such as company pension schemes, health promotions, bike leasing, and corporate events.
- Ideas management, for active participation in corporate development.
- Individual training and development opportunities through the VAHLE ACADEMY.
- International exchange program.
- Trustful collaboration with the works council.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Paul Maschinenfabrik Gmbh & Co. Kg
Wir sind ein traditionsreiches, wirtschaftlich gesundes Familienunternehmen und bestehen seit über 90 Jahren. Ein wichtiger Grund unseres Erfolgs ist die Qualifikation, Einsatzbereitschaft und Betriebstreue unserer 280 Mitarbeiter. Von der Planung bis zur Fertigung entwickeln und produzieren wir Holzbearbeitungsmaschinen (Kreissägemaschinen) sowie Maschinen und Ausrüstungen zur Herstellung von Spannbeton für namhafte Kunden in aller Welt.
Description
- Company Size
- 50-249 Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production, Engineering Industry
Data Analyst
- Location
- Kamen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
