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Clariant

Senior Data Analyst, Master Data (m/f/d)

Clariant Munich, Bavaria, Germany

Chemical Manufacturing · 10,001+ employees

Yesterday
data-analyst Senior (5-10 yrs) Full-time Germany
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About the role

The Senior Data Analyst will analyze SAP master data across various functions to identify inconsistencies, quality gaps, and operational impacts. They are responsible for building systematic data quality checks and collaborating with stakeholders to implement standardized data rules.

What they look for

SAP Data Analysis Master Data Management Python SQL Supply Chain Data Profiling Root Cause Analysis Data Quality Reporting Dashboarding Process Harmonization Financial Analysis Procurement Inventory Management

Requirements

The role requires deep analytical expertise in SAP master data across modules like MM, PP, FI, CO, and SD. Candidates must be proficient in profiling large datasets and using tools like Python or SQL to develop repeatable monitoring solutions.

Full description

Job ID: 41337 | Location: Munich, Bavaria, Germany | Work Model: Hybrid

Clariant is a focused, sustainable, and innovative specialty chemical company. We connect our customers to value-adding and sustainable solutions for products used in countless everyday applications. Our solutions contribute to our customers' sustainability targets while prioritizing our own. We are committed to creating value through innovation and sustainability for our customers, stakeholders, and the environment.

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. The role suits someone with a spark for data: you notice patterns others miss, question values that do not add up, and keep digging until you understand why.

Responsibilities

  • 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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