GSEC Process, Tooling & Data Analytics Specialist (m/f/d)

Advantest Europe GmbH; Böblingen; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Advantest Europe GmbH in Germany is seeking a data analytics professional to develop KPI dashboards, improve data quality, and support management decisions across international teams. You will work with Jira/Confluence, define data views, and drive automation initiatives.

You will collaborate with Product Support, Field Service, R&D, Quality and Manufacturing to enhance service efficiency and readiness for NPI. Fluent English is required; German or Japanese language skills are an advantage.

Qualifikationen

• Degree in industrial engineering, business administration, computer science, information systems, data analytics or a comparable qualification.
• Experience in process management, business analysis, operations excellence, service management or project management.
• Strong analytical mindset with the ability to structure complex information, identify improvement levers and communicate insights clearly.
• Hands-on experience with Jira, Confluence or comparable workflow and knowledge-management platforms.
• Solid understanding of KPI definition, data quality, reporting logic and dashboard-driven management routines.
• Ability to work with operational data sets and derive practical recommendations for management and teams.
• Excellent communication, moderation and stakeholder-management skills in an international environment.
• Good technical understanding of support or engineering workflows; deep product expert knowledge is helpful but not mandatory.
• Experience participating in cross-functional engineering, NPI, readiness or launch-related meetings and translating support requirements into clear actions.
• Fluent English skills, both written and spoken; German or Japanese language skills are an advantage.

Aufgaben

• Create meaningful KPI dashboards and reports for backlog, cycle time, response quality, resolution trends, NTF/DFS-related patterns and improvement follow-up.
• Define data views that help teams distinguish symptoms from root causes and prioritize improvement actions based on evidence.
• Improve data quality by clarifying definitions, ownership, input discipline and reporting routines.
• Use analytics to support management reviews, process retrospectives, project follow-up and cross-functional escalation discussions.
• Use data analytics to support NPI readiness decisions, including early visibility of known issues, support risks, documentation gaps and follow-up actions.
• Identify opportunities for automation, AI-assisted knowledge retrieval and predictive indicators for support workload or quality risks.

Kenntnisse

Analytical mindset

Data-driven decision making

KPI definition / reporting

Stakeholder management

Process improvement

Dashboard familiarity

Cross-functional collaboration

English proficiency

Ausbildung

Degree in industrial engineering, business administration, computer science, information systems, data analytics or a comparable qualification

Tools

Jira

Confluence

Jobbeschreibung

Your Profile

• Degree in industrial engineering, business administration, computer science, information systems, data analytics or a comparable qualification.
• Experience in process management, business analysis, operations excellence, service management or project management.
• Strong analytical mindset with the ability to structure complex information, identify improvement levers and communicate insights clearly.
• Hands-on experience with Jira, Confluence or comparable workflow and knowledge-management platforms.
• Solid understanding of KPI definition, data quality, reporting logic and dashboard-driven management routines.
• Ability to work with operational data sets and derive practical recommendations for management and teams.
• Excellent communication, moderation and stakeholder-management skills in an international environment.
• Good technical understanding of support or engineering workflows; deep product expert knowledge is helpful but not mandatory.
• Experience participating in cross-functional engineering, NPI, readiness or launch-related meetings and translating support requirements into clear actions.
• Fluent English skills, both written and spoken; German or Japanese language skills are an advantage.

Data Analytics Focus

• Create meaningful KPI dashboards and reports for backlog, cycle time, response quality, resolution trends, NTF/DFS-related patterns and improvement follow-up.
• Define data views that help teams distinguish symptoms from root causes and prioritize improvement actions based on evidence.
• Improve data quality by clarifying definitions, ownership, input discipline and reporting routines.
• Use analytics to support management reviews, process retrospectives, project follow-up and cross-functional escalation discussions.
• Use data analytics to support NPI readiness decisions, including early visibility of known issues, support risks, documentation gaps and follow-up actions.
• Identify opportunities for automation, AI-assisted knowledge retrieval and predictive indicators for support workload or quality risks.

Nice to Have

• Experience with Power BI, Power Automate, advanced Excel, SQL, Python or comparable analytics and automation tools.
• Knowledge of Lean, Six Sigma, BPMN, process mining, ITIL or service management frameworks.
• Experience in a global service, product support, quality or engineering organization.
• Familiarity with semiconductor test systems or other complex high-tech capital equipment.
• Experience with AI-supported process optimization, knowledge management, chatbot enablement or digital assistant concepts.

What We Offer

• A visible global role in Production Service with direct impact on operational transparency, process quality and service efficiency.
• The opportunity to shape scalable tools and data-driven ways of working for an international support organization.
• Close collaboration with experts from Product Support, Field Service, R&D, Quality and Manufacturing.
• Room for ownership, continuous improvement, skill development and innovative digital solutions.
• A collaborative, international team environment with modern tools and flexible ways of working.