{"id":2622624,"url":"https://alion.io/job/asml-hr-data-analyst","title":"HR Data Analyst","company":{"id":17151,"name":"ASML","domain":"asml.com","url":"https://alion.io/company/asml","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Berlin, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":59000,"max_usd":111000,"period":"year","method":"role_country_seniority_unknown","sample_n":36},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"GDPR","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-15T13:59:16Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T08:53:26Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"See German version below\nIntroduction to the job\nIn the “Enabling Functions” sector, you may not come into direct contact with our products, but with your expertise you make a significant contribution to ensuring that our company runs smoothly. Only together with colleagues from these structured, high-performing, and supportive departments-such as Human Resources, Accounting, Controlling, IT, and Communications-are we able to grow beyond ourselves and achieve our goals as a company.\nThe need for reliable HR data and actionable workforce insights is growing. We are looking for an energetic and hands-on HR Data Analyst who can turn complex HR data into clear insights and practical reporting solutions. You will work in a small, collaborative team across the full analytics process. The position is initially limited to two years, with the possibility that a longer-term opportunity may arise.\nRole and responsibilities\nIn People Analytics, we turn ASML’s workforce data into actionable insights. You will combine hands-on data work with a strong understanding of stakeholder needs, balancing the development of new analytical solutions with recurring reporting activities.\nAs an HR Data Analyst, you will:\nmanage the end-to-end HR data analytics process, from understanding stakeholder needs and identifying relevant data sources to preparing, analyzing, and visualizing data.\nanalyze HR data on topics such as workforce capacity, talent acquisition, absences, compensation, and diversity, and translate relevant trends and patterns into clear insights, visualizations, and reports for internal stakeholders.\ndevelop and maintain reports, dashboards, forecasts, and ad hoc analyses for HR and other internal stakeholders.\nidentify and implement suitable technical solutions for data preparation, analytics, reporting, and visualization, including the improvement of data flows and reporting structures.\nimprove the standardization, simplification, automation, and efficiency of HR reporting and analytics.\nenable internal stakeholders to understand dashboards and analytical results and use the available insights effectively for their business questions.\nEducation and experience\nUniversity degree in business administration, economics, sociology, psychology, data science or another field with a strong analytical or research component.\nProfessional experience in HR analytics, HR controlling, data analytics, or a comparable field. Relevant hands-on experience gained through internships or working-student roles is also valued.\nExperience using modern analytics technologies to prepare, connect, analyze, and visualize data. This may include Excel, Power BI, Databricks, Python, SQL, data preparation tools, and generative AI tools that support analysis and troubleshooting.\nExperience working with complex datasets and an understanding of data preparation, data quality, reporting, and dashboard development.\nFluent German and English.\nSkills\nTo thrive in a diverse HR data environment with complex requirements and multiple stakeholders, you will need the following skills:\nStructured and analytical approach when working with complex questions, multiple data sources, and changing requirements.\nProblem-solving mindset and curiosity, with the persistence to test different approaches and resolve technical or data-related challenges.\nStrong ownership and initiative, with the motivation to think end-to-end and stay engaged with a topic until a practical solution is found.\nClear and effective communication, with the ability to make complex data and analytical results understandable to stakeholders with different levels of technical expertise.\nCollaborative and reliable working style, enabling close teamwork across functions while effectively prioritizing multiple requirements.\nAwareness of data privacy and responsible data use, with the ability to handle employee data carefully and apply relevant data protection requirements, including GDPR.\nOther information\nWhat we offer\nJob with bright future prospects at an innovation leader in the semiconductor industry in Berlin Neukölln\nRemuneration according to company collective agreement (with IG Metall) including 13th monthly salary and variable remuneration components\nCollective working time: 35 hours/week\nFlexible arrangement of your daily working hours (depending on the work area)\n30 days of vacation\nReimbursement of moving expenses for you and your family (starting from 100 km distance)\nParticipation in the Employee Share Purchase Plan (ESPP)\nSpecific advanced training and development opportunities\nAccess to organized childcare and vacation care\nComprehensive health and well-being programs\nMobility benefits to support your commute: company transit pass, parking card, and bike purchase program\nDiversity and inclusion\nASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.\nDein Arbeitsumfeld\nIm Sektor der „Enabling Functions“ kommst du vielleicht nicht direkt mit unseren Produkten in Kontakt, aber mit deinem Fachwissen trägst du maßgeblich dazu bei, dass unser Unternehmen reibungslos funktioniert. Nur mit den Kollegen und Kolleginnen aus diesen strukturierten, leistungsbereiten und unterstützenden Abteilungen wie dem Personal, der Buchhaltung, dem Controlling, der IT und der Kommunikation, ist es uns möglich über uns hinaus zu wachsen und unsere Ziele als Unternehmen zu erreichen.\nDer Bedarf an verlässlichen HR-Daten und aussagekräftigen Erkenntnissen über unsere Belegschaft wächst. Wir suchen einen engagierten und praxisorientierten HR Data Analyst, der komplexe HR-Daten in klare Erkenntnisse und praktikable Reporting-Lösungen überführt. Du arbeitest in einem kleinen, eng zusammenarbeitenden Team entlang des gesamten Analytics-Prozesses. Die Stelle ist zunächst auf zwei Jahre befristet, wobei sich daraus die Möglichkeit einer längerfristigen Beschäftigung ergeben kann.\nDeine Aufgaben\nIm Bereich People Analytics verwandeln wir die Personaldaten von ASML in aussagekräftige Erkenntnisse. Dabei verbindest du praktische Datenarbeit mit einem guten Verständnis für die Anforderungen der Stakeholder und kombinierst die Entwicklung neuer analytischer Lösungen mit wiederkehrenden Reporting-Aktivitäten.\nAls HR Data Analyst wirst du:\nden gesamten HR-Data-Analytics-Prozess betreuen, von der Aufnahme der Anforderungen der Stakeholder und der Identifikation relevanter Datenquellen bis zur Aufbereitung, Analyse und Visualisierung der Daten.\nHR-Daten zu Themen wie Personalkapazität, Talentgewinnung, Abwesenheiten, Vergütung und Diversity analysieren und relevante Trends und Muster in klare Erkenntnisse, Visualisierungen und Berichte für interne Stakeholder überführen.\nReports, Dashboards, Forecasts und Ad-hoc-Analysen für HR und andere interne Stakeholder entwickeln und pflegen.\ngeeignete technische Lösungen für Datenaufbereitung, Analysen, Reporting und Visualisierung identifizieren und umsetzen, einschließlich der Verbesserung von Datenflüssen und Reporting-Strukturen.\ndie Standardisierung, Vereinfachung, Automatisierung und Effizienz von HR-Reporting und HR-Analytics verbessern.\ninterne Stakeholder dabei unterstützen, Dashboards und Analyseergebnisse zu verstehen und die verfügbaren Erkenntnisse wirksam für ihre geschäftlichen Fragestellungen zu nutzen.\nDeine Qualifikation\nHochschulabschluss in Betriebswirtschaftslehre, Wirtschaftswissenschaften, Soziologie, Psychologie, Data Science oder einem anderen Studiengang mit einem ausgeprägten analytischen oder forschungsbezogenen Schwerpunkt.\nBerufserfahrung in HR Analytics, Personalcontrolling, Datenanalyse oder einem vergleichbaren Bereich. Relevante praktische Erfahrungen aus Praktika oder Werkstudententätigkeiten werden ebenfalls berücksichtigt.\nErfahrung im Einsatz moderner Analytics-Technologien zur Aufbereitung, Verknüpfung, Analyse und Visualisierung von Daten. Dazu können Excel, Power BI, Databricks, Python, SQL, Tools zur Datenaufbereitung sowie generative KI-Tools zur Unterstützung von Analysen und Fehlerbehebung gehören.\nErfahrung im Umgang mit komplexen Datensätzen sowie Verständnis von Datenaufbereitung, Datenqualität, Reporting und Dashboard-Entwicklung.\nFließende Deutsch- und Englischkenntnisse.\nDeine Kompetenzen\nUm in einem vielfältigen HR-Datenumfeld mit komplexen Anforderungen und unterschiedlichen Stakeholdern erfolgreich zu sein, bringst du folgende Kompetenzen mit:\nStrukturierte und analytische Arbeitsweise bei komplexen Fragestellungen, unterschiedlichen Datenquellen und wechselnden Anforderungen.\nAusgeprägte Problemlösungsorientierung und Neugier, verbunden mit der Beharrlichkeit, unterschiedliche Ansätze zu testen und technische oder datenbezogene Herausforderungen zu lösen.\nHohe Eigenverantwortung und Initiative, mit der Motivation, Themen ganzheitlich zu betrachten und so lange zu verfolgen, bis eine praktikable Lösung gefunden ist.\nKlare und effektive Kommunikation, mit der Fähigkeit, komplexe Daten und Analyseergebnisse für Stakeholder mit unterschiedlichem technischem Hintergrund verständlich zu machen.\nKooperative und zuverlässige Arbeitsweise, die eine enge bereichsübergreifende Zusammenarbeit ermöglicht und gleichzeitig eine effektive Priorisierung mehrerer Anforderungen sicherstellt.\nBewusstsein für Datenschutz und einen verantwortungsvollen Umgang mit Daten, verbunden mit der Fähigkeit, Beschäftigtendaten sorgfältig zu behandeln und relevante Datenschutzanforderungen einschließlich der DSGVO anzuwenden.\nOther information\nDas bieten wir dir\nzukunftssicherer Arbeitsplatz bei einem Innovationsführer der Halbleiterindustrie in Berlin Neukölln\nVergütung gemäß Haustarifvertrag mit der IG Metall inkl. 13. Monatsgehalt sowie variablen Vergütungsbestandteilen\nTarifarbeitszeit: 35 Stunden/Woche\nFlexible Gestaltung deiner täglichen Arbeitszeit (abhängig vom Arbeitsbereich)\n30 Tage Urlaub\nErstattung von Umzugskosten für dich und deine Familie (ab 100 km Entfernung)\nTeilnahme am Aktienkaufprogramm für Mitarbeitende\nindividuelle Weiterbildungs- und Entwicklungsmöglichkeiten\nZugang zu organisierter Kinder- und Ferienbetreuung\nUmfangreiche Gesundheits- und Well-being-Angebote\nMobilitätsbenefits für deinen Arbeitsweg: Firmenticket, Parkkarte, Fahrradkauf\nInclusion and diversity\nASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.\nNeed to know more about applying for a job at ASML? 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