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Rubén S.RS

Rubén S.

HR Data Analyst

1'057 €/jour
Zurich, CH
3-7 ans

Délai de réponse moyen : 1h

À propos de Rubén

People Analytics / HR Analyst based in Zurich, with experience in Workday implementation consulting and in-house analytics in banking. My goal is to move beyond dashboard delivery and focus on analyses that shape decisions-hiring, compensation, and workforce performance. I build end-to-end HR data workflows (Workday reporting / PRISM - Python/SQL - concise reporting) and translate stakeholder questions into measurable metrics, trade-offs, and clear recommendations.

• Digital Skills: Python, Dataiku, Tableau, PostgreSQL, Tableau Prep, Workday HCM, Workday Integrations RaaS & SOAP API, Power BI, Python libraries (Pandas, Numpy, SciKit Learn, Matplotlib), MySQL, Workday Reporting
• Soft Skills: Detail-oriented, Highly motivated, Proactive attitude, Analytical thinker, Well-organized, Self-taught, m Problem solver
  • Espagnol

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

  • Allemand

    Notions

Accepte de travailler sur site
Zurich (jusqu’à 20 km)

Expériences

  • Julius Baer
    HR Data Analyst
    BANQUE & ASSURANCES
    novembre 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
    Tableau software Processus ETL (Extract, Transform, Load) Workday Python Visualisation de données
  • aggity
    People Analytics Data Scientist
    CONSEIL & AUDIT
    juin 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
    Data analysis Python Power Automate NLP Microsoft Power BI
  • PricewaterhouseCoopers (PwC)
    Workday Consultant
    CONSEIL & AUDIT
    août 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
    Workday Workday PRISM Workday Reporting Microsoft Power BI Project Management

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Formations

  • Data Science Master's Degree
    Open University of Catalonia (UOC)
    2022
    Master's Degree
  • Psychology Bachelor's Degree
    University of La Laguna (ULL)
    2018
    Bachelor's Degree

Certifications

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