Job
- Level
- Senior
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- BI
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Rolle analysierst du SAP-Stammdaten, identifizierst Qualitätsprobleme und erstellst Analysen in Python oder SQL, um Datenfehler zu beheben und die Datenqualität kontinuierlich zu verbessern.
Job Technologien
Deine Rolle im Team
- As Senior Data Analyst, Master Data, you analyze SAP master data across plants and regions to identify gaps, quality issues, and concrete improvements.
- You work with data owners in Supply Chain and other functions, who set direction and priorities, while you bring the analytical depth: profiling large SAP extracts, comparing master data against transactional reality, tracing root causes, and building checks that keep the data right over time.
- Analyze SAP master data across MM, PP, FI, CO, and SD to identify inconsistencies, gaps, and implausible values, using both SAP extracts and transactional data as evidence of what the data should be.
- Profile master data quality across plants, regions, and material populations; establish baselines and quantify the operational impact of data issues on planning, inventory, costing, and service.
- Investigate root causes behind recurring data issues, distinguishing legitimate local variation from uncontrolled drift, and propose concrete field-level rules and value ranges for review and sign-off by data owners.
- Build repeatable analyses and quality checks outside SAP (Python, SQL, or equivalent) so that data monitoring becomes systematic rather than a one-off exercise.
- Support the design and continuous evolution of master data quality dashboards and monitoring, translating agreed standards into measurable checks and clear reporting.
- Contribute to the harmonization and standardization of master data for high-impact material populations, supplying the analytical basis for target settings and validating outcomes after implementation.
- Work directly with production schedulers, planners, procurement, and finance stakeholders to test findings against operational reality and ensure recommendations are practical, and support central MDM functions with clear, evidence-based requirements.
Unsere Erwartungen an dich
Ausbildung
- Degree in Business Informatics, Statistics, Data Science, Industrial Engineering, Supply Chain, Information Systems, or a related quantitative field, or equivalent practical experience in a quantitative or data-intensive role.
Qualifikationen
- Strong analytical toolkit beyond Excel: Python (pandas), SQL, or equivalent for profiling, joining, and comparing large data extracts, and building repeatable analyses.
- Demonstrated curiosity and persistence in data work: a track record of spotting anomalies others missed, chasing down root causes, and turning findings into recommendations that were acted on.
- Clear communicator who can explain analytical findings to schedulers, planners, and business stakeholders in operational terms, not statistical ones.
Erfahrung
- 5+ years of experience in data analysis with a strong master data focus, ideally in chemicals, pharma, or other process industries.
- Hands-on experience analyzing SAP master data (MM/PP as a minimum), with a working understanding of how key fields and value ranges drive planning, procurement, production, and costing outcomes.
Unser Angebot
- The opportunity to make a significant impact through data-driven transformation.
- A collaborative working environment with cross-functional teams.
- Professional development opportunities in a global specialty chemicals company.
- Competitive compensation and benefits package.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Clariant AG
Clariant is a focused and innovative specialty chemical company based near Basel in Switzerland. Last year the company recorded CHF 6.6 billion in sales harnessing the talents of its 18 000 employees across 53 countries.
Description
- Unternehmensgröße
- 250+ Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Pharma, Chemie, Biotech
Senior Data Analyst, Master Data
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
