À propos de Rubén
Espagnol
Bilingue ou natif
Anglais
Capacité professionnelle complète
Allemand
Notions
Expériences
- Julius BaerHR Data AnalystBANQUE & ASSURANCESnovembre 2023 - Aujourd'hui (2 ans et 9 mois)Zurich, Suisse
- Built a scalable, reusable People Data platform in Dataiku, connecting Workday ↔ Dataiku ↔ Tableau and enabling bidirectional loads to Workday PRISM
- Enabled cross-functional RM analytics by integrating Finance KPIs (SAP-based) with HR/Workday data via automated Dataiku pipelines, creating new Workday reporting capabilities
- Built automated validation gates for People Analytics pipelines (range/consistency checks + alerts), reducing manual QA and reporting errors
- Migrated and refactored 8 legacy dashboards from manual Tableau Prep workflows to fully automated Dataiku pipelines (0-touch refresh) with embedded data quality checks
- Led and contributed to data projects that created operational reporting and analytics products delivering actionable insights to managers and HR stakeholders
- Performed ad-hoc analyses, statistical evaluations, and data exploration with Tableau, Python, Dataiku, and Excel, uncovering patterns that supported HR strategy adjustments and decision-making
- Partnered with HR, Finance, and other departments to build Tableau dashboards and data products that provided insights for workforce planning
- aggityPeople Analytics Data ScientistCONSEIL & AUDITjuin 2022 - octobre 2023 (1 an et 4 mois)Madrid, Espagne
- Built AI turnover-prediction model using Python (Pandas, Scikit-Learn) and Dataiku, employing Logistic Regression, Random Forest, XGBoost, and LightGBM, which identified high-risk employees and enabled proactive retention actions
- Developed Robotic Process Automations (RPAs) using Power Automate to streamline employee onboarding data entry, reducing manual effort and cutting processing time by half
- Developed interactive business-intelligence dashboards in Power BI that visualized turnover trends and workforce metrics from SAP SuccessFactors API, giving managers real-time insights for staffing decisions
- Built and trained Natural Language Processing (NLP) models using Python (Pandas, Scikit-Learn, NLTK) to classify resumes and analyze employee survey sentiment, improving candidate screening speed and providing actionable feedback on survey results
- PricewaterhouseCoopers (PwC)Workday ConsultantCONSEIL & AUDITaoût 2021 - mai 2022 (9 mois)Madrid, Espagne
- Developed custom and advanced Workday reports and dashboards, enabling managers to access real-time workforce data
- Built Workday integrations via RaaS and SOAP API, leveraging Python (Pandas, Requests) to automate data exchange, reducing manual entry time by streamlining HR data flow
- Participated in implementing Workday Prism Analytics ETL processes, to extract and transform HR data, allowing cross-functional analysis of employee compensation (Total Rewards Statement)
- Participated in configuring Workday HCM and Recruiting modules, applying a detail-oriented setup and proactive testing, which accelerated the rollout schedule
Recommandations
Soyez le premier à recommander Rubén
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Formations
- Data Science Master's DegreeOpen University of Catalonia (UOC)2022Master's Degree
- Psychology Bachelor's DegreeUniversity of La Laguna (ULL)2018Bachelor's Degree
Certifications
- Workday Pro HCM Core CertificationWorkday2021
- Workday Pro HCM Reporting CertificationWorkday2021