Master Data Analyst

Embecta Corp.; Madrid; On-site; EUR 45,000 - 60,000; Full time

Job summary

Embecta is seeking a Master Data Specialist to own and optimize data foundations supporting reporting and analytics across its global operations. You will integrate Salesforce, SAP, IQVIA, and other sources into a centralized data environment, maintaining customer master data, account hierarchies, and territory mappings for 100+ countries.

You will enhance Power BI and Excel reporting capabilities, drive data quality and governance, and explore automation and AI opportunities, including

Qualifications

• Third-level qualification in a data-related field (as listed).
• Experience with data integration, governance, and reporting is preferred.

Responsibilities

• Design, build, and maintain ETL processes across systems (Salesforce, IQVIA, SAP and more).
• Develop automated data pipelines with error handling and alerts.
• Centralize local data assets into a single environment and support MBR pipelines.

Skills

ETL pipelines

Data governance

Data modeling

Analytical thinking

Stakeholder communication

Independent work

Education

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Engineering, Mathematics, or related field

Tools

Power BI

Excel

Salesforce

IQVIA

SAP

Python

R

Job description

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 & LoadPipelines

• 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 (MBR) data pipeline and reporting infrastructure.

Data Cleaning & Quality Assurance

• Implement standardized data‑cleaning protocols and validation frameworks.
• Identifyand 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 andoptimizePower BI data models, using bothDirectQueryand 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

• Identifyand 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

• Proficiencyin 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 of the Salesforce ecosystem, including custom fields, workflows, data models, and data‑quality structures.
• Familiarity with IQVIA, SAP, and other data systems commonly used in pharmaceutical and medical device environments.
• Strong problem‑solving mindset witha high levelof attention to detail.
• Ability to work independently, prioritize tasks, and manage multiple projects simultaneously.
• Excellent communication skills, with the ability to translate technical concepts into business‑friendly language.
• Collaborative approach to partnering with regional teams, business analysts, and cross‑functional stakeholders.
• Strong documentation discipline and a process‑oriented working style.

Desirable Skills

Experience with Python or R for data manipulation and automation.

embecta is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.