{"id":1882374,"url":"https://alion.io/job/advantest-gsec-process-tooling-data-analytics-specialist-mfd","title":"GSEC Process, Tooling & Data Analytics Specialist (m/f/d)","company":{"id":50320,"name":"Advantest","domain":"advantest.com","url":"https://alion.io/company/advantest","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_city","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Böblingen, Germany"],"countries":["DE"],"hiring_countries":["DE"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":65000,"max_usd":140000,"period":"year","method":"role_country_seniority_unknown","sample_n":60},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BPMN","optional":false},{"name":"Confluence","optional":false},{"name":"ITIL","optional":false},{"name":"Jira","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Power Automate","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-25T11:35:08Z","employer_posted_date":null,"last_verified_at":"2026-08-25T11:35:08Z","board_verified":false,"closed_at":null,"days_open":41,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":41},"description":"GSEC Process, Tooling & Data Analytics Specialist (m/f/d)\nFirma: Advantest Europe GmbH\nEinsatzort: Böblingen\nHomeoffice Option, Vollzeit\n\nAufgaben:Analyze, define and continuously improve global GSEC and support-related processes, workflows and interfaces.\nDevelop pragmatic process standards, templates, working instructions and governance material that are easy to adopt globally.\nOwn and improve tooling concepts for Jira, Confluence, dashboards, reporting solutions and other collaboration platforms.\nBuild and maintain KPI structures, dashboards and recurring reports that convert operational data into actionable management insights.\nPerform data analysis to identify trends, bottlenecks, recurring failure patterns, process gaps and improvement opportunities.\nSupport automation, digitalization and AI-enablement initiatives that increase transparency, knowledge reuse and operational efficiency.\nTranslate stakeholder needs into tool requirements, user stories, improvement backlogs and implementation proposals.\nRepresent Product Support process and tooling requirements in cross-functional project discussions, especially during NPI planning, pilot phases and readiness reviews.\nFacilitate cross-functional workshops, retrospectives and improvement activities with Product Support, Field Service, R&D, Quality and Manufacturing.\nUse support case and technical escalation context to ensure that processes and tools solve real operational problems without making this a pure technical support role.\nSupport the new product introduction phase by participating in cross-functional meetings and ensuring that Product Support requirements, serviceability needs, documentation needs and operational readiness aspects are considered early enough.\nContribute to knowledge-management concepts that make lessons learned, troubleshooting information and best practices easier to find and reuse.\nData Analytics Focus\nCreate meaningful KPI dashboards and reports for backlog, cycle time, response quality, resolution trends, NTF/DFS-related patterns and improvement follow-up.\nDefine data views that help teams distinguish symptoms from root causes and prioritize improvement actions based on evidence.\nImprove data quality by clarifying definitions, ownership, input discipline and reporting routines.\nUse analytics to support management reviews, process retrospectives, project follow-up and cross-functional escalation discussions.\nUse data analytics to support NPI readiness decisions, including early visibility of known issues, support risks, documentation gaps and follow-up actions.\nIdentify opportunities for automation, AI-assisted knowledge retrieval and predictive indicators for support workload or quality risks.\nQualifikationen:Degree in industrial engineering, business administration, computer science, information systems, data analytics or a comparable qualification.\nExperience in process management, business analysis, operations excellence, service management or project management.\nStrong analytical mindset with the ability to structure complex information, identify improvement levers and communicate insights clearly.\nHands-on experience with Jira, Confluence or comparable workflow and knowledge-management platforms.\nSolid understanding of KPI definition, data quality, reporting logic and dashboard-driven management routines.\nAbility to work with operational data sets and derive practical recommendations for management and teams.\nExcellent communication, moderation and stakeholder-management skills in an international environment.\nGood technical understanding of support or engineering workflows; deep product expert knowledge is helpful but not mandatory.\nExperience participating in cross-functional engineering, NPI, readiness or launch-related meetings and translating support requirements into clear actions.\nFluent English skills, both written and spoken; German or Japanese language skills are an advantage.\nExperience with Power BI, Power Automate, advanced Excel, SQL, Python or comparable analytics and automation tools.\nKnowledge of Lean, Six Sigma, BPMN, process mining, ITIL or service management frameworks.\nExperience in a global service, product support, quality or engineering organization.\nFamiliarity with semiconductor test systems or other complex high-tech capital equipment.\nExperience with AI-supported process optimization, knowledge management, chatbot enablement or digital assistant 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