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21 день назад

Senior Data Analyst, Master Data (SAP)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Analyst, Master Data (SAP): Analyzing SAP master data across plants and regions to identify inconsistencies, quantify operational impact, and improve data quality with an accent on master data profiling, root-cause analysis, and cross-functional validation. Focus on building repeatable Python or SQL checks, developing monitoring dashboards, and harmonizing high-impact material populations across planning, procurement, production, and costing.

Location: Munich, Bavaria, Germany; hybrid work model

Company

hirify.global is a global specialty chemicals company developing sustainable and innovative chemical solutions for everyday applications.

What you will do

  • Analyze SAP master data across MM, PP, FI, CO, and SD using SAP extracts and transactional data.
  • Profile data quality across plants, regions, and material populations, and quantify impacts on planning, inventory, costing, and service.
  • Investigate recurring data issues, identify root causes, and propose field-level rules and value ranges.
  • Build repeatable analyses and quality checks with Python, SQL, or equivalent tools.
  • Support master data quality dashboards, monitoring, harmonization, and standardization initiatives.
  • Work with schedulers, planners, procurement, finance, and central MDM stakeholders to validate findings and recommendations.

Requirements

  • Degree in Business Informatics, Statistics, Data Science, Industrial Engineering, Supply Chain, Information Systems, or a related quantitative field, or equivalent practical experience.
  • 5+ years of data analysis experience with a strong master data focus, ideally in chemicals, pharma, or another process industry.
  • Hands-on experience analyzing SAP master data, including MM and PP, with an understanding of how key fields affect planning, procurement, production, and costing.
  • Strong analytical skills beyond Excel, including Python with pandas, SQL, or equivalent tools for profiling and comparing large data extracts.
  • Demonstrated curiosity and persistence in identifying anomalies, tracing root causes, and turning findings into actionable recommendations.
  • Clear communication skills for explaining analytical findings to operational and business stakeholders.

Culture & Benefits

  • Opportunity to contribute to data-driven transformation in a global specialty chemicals company.
  • Collaborative work with cross-functional teams.
  • Professional development opportunities.
  • Competitive compensation and benefits package.
  • Commitment to diversity, equity, inclusion, and equal opportunities for professional growth.

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