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Master Data Analyst

in 70173, Stuttgart, Baden-Württemberg, Deutschland
Unternehmen: Embecta Corp.
Vollzeit position
Verfasst am 2026-10-22
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Daten Analyst, Dateningenieur, Geschäftsintelligenz, CRM-Systeme & -Management
Gehalts-/Lohnspanne oder Branchenbenchmark: 70000 - 110000 EUR pro Jahr EUR 70000.00 110000.00 YEAR
Stellenbeschreibung

embecta is a global medical device company with a 100-year legacy in insulin delivery and diabetes care. Driven by innovation, purpose, and a commitment to improving lives, we are expanding our portfolio of solutions to serve even more patients, healthcare providers, and communities around the world.

We are looking for a Master Data Specialist to own and optimize the data foundations that support reporting, analytics, and business decision-making across our international business. You will be responsible for integrating data from Salesforce, SAP, IQVIA, and other key systems into a centralized, trusted, and scalable data environment.

This role will lead the management of customer master data, account hierarchies, territory mappings, and reporting structures across more than 100 countries. You will drive improvements in data quality, governance, and automation while enhancing Power BI and Excel reporting capabilities to deliver accurate, actionable business insights.

Working closely with Commercial Excellence, IT, Finance, Supply Chain, and regional teams, you will help standardize data processes, support Salesforce data management, and identify opportunities to leverage automation and AI technologies, including Microsoft Copilot. This is an exciting opportunity for a data professional who enjoys turning complex data into meaningful business value.

Key Responsibilities Data Integration &Extract, Transform & Load Pipelines
  • Design, build, and maintain ETL processes connecting Salesforce, IQVIA, SAP, andadditionaldata sources.
  • Develop automated, schedule‑based data pipelines with robust error‑handling and alerting mechanisms.
  • Centralize all locally purchased data assets (e.g., IQVIA) into a single environment
  • Support the Monthly Business Review (M ) data pipeline and reporting infrastructure.
Data Cleaning & Quality Assurance
  • Implement standardized data‑cleaning protocols and validation frameworks.
  • Identify and resolve data‑quality issues at source or within transformation layers.
  • Build andmaintaindata‑quality dashboards and metrics tomonitorongoing data health across all regions.
Salesforce &Customer Relationship Management (CRM)
Data Management
  • Maintainaccurateaccount hierarchies and customer master data in Salesforce.
  • Troubleshoot issues related to Salesforce‑to‑analytics data synchronization.
  • Ensure data consistency across all Salesforce environments and connected systems.
Account Mapping & Customer Master Data
  • Maintain and update global account hierarchies and territory mappings.
  • Develop and enforce standardized account‑naming conventions across regions.
  • Create and manage account‑to‑cluster mapping tables.
  • Manage account mergers, divestitures, and organizational structure changes.
Power BI Infrastructure & Optimization
  • Set up and optimize

    Power BI data models, using both

    Direct

    Queryand Import modes.
  • Create reusable templates and design standards to support scalable Power BI development.
  • Monitor and improve query performance across Power BI datasets and semantic models.
AI & Automation Opportunities
  • Identify and implement automation opportunities to reduce manual data‑processing workload.
  • Evaluate AI‑enabled features (e.g., Microsoft Copilot) in collaboration with IT to enhance data workflows.
  • Develop scripts or tools to automate repetitive validation and transformation tasks.
Education And Experience
  • Third-level qualification (Bachelor's degree or equivalent) in Data Analytics, Computer Science, Information Systems, Business Analytics, Engineering, Mathematics, or a related field.
Analytics Tools & Platforms
  • Proficiency in Power BI including advanced DAX measures, calculated tables, and complex data‑modellingformulas.
  • Strong command of Microsoft Excel for data manipulation, analysis, and model building.
  • Working knowledge…
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