Data Quality Analyst

Merck Group; Eysins; Vor Ort; CHF 90.000 - 120.000; Vollzeit

Zusammenfassung

Merck Group is seeking a Data Quality Analyst to join the Global Healthcare Operations Data Excellence team. You will profile, measure, monitor, and improve critical data across Manufacturing, Supply Chain, Quality, and Engineering, turning data quality standards into actionable rules and dashboards.

The role collaborates with data owners, stewards, IT, and governance forums to deliver trusted reporting, analytics, and remediation insights, enabling AI readiness and compliant operations across

Qualifikationen

• Bachelor's or Master's degree in a relevant field.
• 3–6+ years in data quality, data analysis, governance, BI, or operations.
• Experience with data profiling, root cause analysis, dashboarding, reporting, or quality measurement.
• Strong understanding of data quality dimensions: accuracy, completeness, timeliness, etc.
• Knowledge of SQL, Excel, Power BI or equivalent tools.
• Understanding of ERP/MES/WMS/APS/LIMS and analytics platforms is beneficial.

Aufgaben

• Define, document, and maintain data quality rules and measurement logic for critical data elements.
• Profile datasets, assess completeness, consistency, duplication, timeliness, validity, accuracy, integrity.
• Build data quality scorecards, dashboards, and reports for governance forums.
• Monitor data quality trends and identify recurring patterns and improvements.
• Investigate data quality incidents and support root cause analysis with stakeholders.
• Maintain remediation logs and track closures for priority issues.
• Support remediation prioritization based on business impact and regulatory relevance.
• Validate remediation effectiveness and data readiness for reporting and analytics.
• Collaborate with data owners and technical teams to implement quality rules in platforms.

Kenntnisse

Data profiling

Root cause analysis

Dashboarding

Reporting

Data quality measurement

Ausbildung

Bachelor's or Master's degree in Data Management, Information Systems, Computer Science, Engineering, Business Analytics, Supply Chain, Industrial Engineering, Statistics

Tools

SQL

Excel

Power BI

Data quality tools

Data catalogues

Enterprise data platforms

Jobbeschreibung

Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

Your role

You will join the Global Healthcare Operations Data Excellence team, which helps the organization make data quality measurable, transparent, and actionable. As Data Quality Analyst, you will profile, measure, monitor, and help improve critical data across Manufacturing, Supply Chain, Quality, Engineering, and related GHO functions. You will work with data owners, business and technical data stewards, digital and IT teams, Enterprise Data, and process teams to turn data quality standards into practical rules, scorecards, dashboards, issue tracking, and remediation insights. Your work will support trusted reporting, analytics, automation, Smart Manufacturing, AI readiness, compliant operations, and confident decision-making.

• Define, document, and maintain data quality rules and measurement logic for approved critical data elements and priority data domains.
• Profile agreed datasets and assess completeness, consistency, duplication, timeliness, validity, accuracy, uniqueness, and integrity.
• Build and maintain data quality scorecards, dashboards, and reports for Data Owners, Data Stewards, and governance forums.
• Monitor data quality trends and identify recurring patterns, systemic issues, and improvement opportunities.
• Investigate data quality incidents and support root cause analysis with business and technical stakeholders.
• Maintain issue logs, remediation trackers, and closure evidence for priority data quality issues.
• Support prioritization of remediation actions based on business impact, regulatory relevance, operational risk, and transformation dependencies.
• Validate whether remediation actions have resolved the underlying issue and improved the agreed quality measures.
• Apply GHO data quality standards, thresholds, critical data definitions, and measurement approaches.
• Contribute to the definition of critical data elements, business rules, quality dimensions, acceptance criteria, and data readiness assessments.
• Prepare concise data quality insights and materials for governance councils, stewardship forums, and Community of Practice sessions.
• Assess data readiness for reporting, analytics, automation, Smart Manufacturing, AI use cases, and transformation programmes.
• Identify data gaps that affect KPI transparency, reporting reliability, process performance, and reuse of governed datasets.
• Work with technical teams to support the implementation, automation, and monitoring of quality rules in relevant data platforms.

Who you are:

• Bachelor's or Master's degree in Data Management, Information Systems, Computer Science, Engineering, Business Analytics, Supply Chain, Industrial Engineering, Statistics, or a related field.

• 3 to 6 or more years of experience in data quality, data analysis, data governance, master data, business intelligence, manufacturing, supply chain, quality, or enterprise operations.
• Experience in data profiling, root cause analysis, issue tracking, dashboarding, reporting, or data quality measurement in a complex business or technology environment.
• Strong understanding of data quality dimensions, including accuracy, completeness, consistency, timeliness, validity, uniqueness, and integrity.
• Ability to detect anomalies, analyze trends, and translate findings into clear business insights and remediation actions.
• Working knowledge of SQL, Excel, Power BI or equivalent reporting tools, data quality tools, data catalogues, and enterprise data platforms.
• An understanding of operational systems and data flows, such as ERP, MES, WMS, APS, LIMS, and analytics platforms, is beneficial.
• Understanding of data ownership, stewardship, critical data elements, metadata, business rules, and governance forums.
• Structured problem-solving, strong attention to detail, and disciplined documentation and follow-through.
• Strong communication and facilitation skills, with the ability to explain technical findings in clear business language and guide issues through to measurable closure.

The position is intended for Germany, France, Spain and Italy.

HC-GM-AC Value Creation

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!