Job
- Level
- Senior
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Job Field
- BI
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you analyze SAP master data, identify quality issues, and create analyses in Python or SQL to address data errors and continuously improve data quality.
Job Technologies
Your role in the 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.
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Our expectations of you
Education
- 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.
Qualifications
- 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.
Experience
- 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.
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What we offer
- 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.
- Wettbewerbsfähiges Vergütungs- und Leistungspaket.
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Topics You Will Work On
Job Locations
About Your Employer
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
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech
Senior Data Analyst, Master Data
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
