Every year, we help hundreds of thousands of people find rewarding jobs in the ever-changing world of work.We understand the importance of a job in peoples lifes and we want to help them find work that feels good. And we’ll help them continue to grow as their needs and ambitions change.At Randstad, our value comes from our people and that is why we put them first. We are proud of our learning culture and career architecture framework that encourages ours team to develop both personally and professionally.We believe that talent grows when presented with opportunity and this is why we encourage our people to think beyond their role. We have created a culture that enables talent to flourish, encouraging entrepreneurship, fostering team spirit, and continually building mutual trust.Role PurposeTo bridge the gap between recruitment activity and strategic client delivery by serving as the primary navigator of the recruitment data layer. This role ensures the global recruitment engine is perfectly optimized by translating operational datasets into clear, actionable insights for various teams across Randstad. You act as the “interpretation engine” for global delivery—using data to identify "storms" before they hit and collaborating with a matrix of stakeholders to implement proactive solutions.Key Responsibilities● Metric Interpretation: Move beyond reporting "what happened" to explaining "why it happened." You will deep-dive into recruitment metrics across multiple industries (e.g., Funnel Conversion Rates, Time-to-Fill, and Diversity Metrics) throughout global regions.● Predictive Flagging: Use data visualization (Tableau/Domo) to monitor performance and identify bottlenecks—such as a sudden drop in candidate pull-through● Stakeholder Synthesis: Act as the technical "connective tissue" between operational teams and supporting business units. You translate technical "red flags" into clear, evidence-based recommendations for operational support plans.● Process Optimization: Ensure global standards are met while accounting for local market nuances across EMEA, APAC, and the Americas by identifying data discrepancies and process friction.● Forecasting Support: Analyze historical data to support the building of proactive forecasts, helping clients and internal teams prepare for seasonal shifts or market volatility. Must-Have Skills The Data & Analytics Engine● Data Interpretation & Narrative Building: The ability to identify why numbers move and translate a 10% drop in "Offer Acceptance" into actionable problem statement● Visualization Tool Proficiency: Strong experience with Domo, Tableau, or Looker Studio; comfortable navigating, filtering, and extracting insights from complex dashboards.● Advanced Spreadsheet Mechanics: Expert-level Excel/Google Sheets (complex formulas, data cleaning, pivot tables) for deep-dive analysis.● Pattern Recognition: A sharp ability to spot "red flags" and anomalies within recruitment funnel data. Global Operational Excellence● Recruitment Process Experience: Solid understanding of the recruitment cycle within an international recruitment context● Global Market Fluency: Understanding how "High-Volume" vs. "Niche Tech" hiring strategies vary across different global landscapes.● Matrix Collaboration: The ability to influence and collaborate with colleagues and stakeholders across different time zones and cultures without formal reporting lines.● Market Knowledge: Staying informed on market trends, emerging candidate behaviors, and employer trends to support effective root-cause analysis. Consultative & Soft Skills● Self-Directed Ownership: Ability to manage high-level analytical tasks independently and take responsibility for data accuracy and reporting timelines.● Consultative Problem-Solving: Approaching challenges by identifying the root cause and presenting actionable takeaways to the stakeholders● Effective Communication: The ability to present complex data findings clearly and concisely to both technical and non-technical stakeholders. Nice-to-HaveSkills ● Industry experience: Preferably experience working with/as RPO/MSP models.● BigQuery & SQL Literacy: The ability to write basic queries to extract raw data independently.Is this the job for you? We would love to hear from you! Please apply directly to the role and we will get in touch with you.
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Every year, we help hundreds of thousands of people find rewarding jobs in the ever-changing world of work.We understand the importance of a job in peoples lifes and we want to help them find work that feels good. And we’ll help them continue to grow as their needs and ambitions change.At Randstad, our value comes from our people and that is why we put them first. We are proud of our learning culture and career architecture framework that encourages ours team to develop both personally and professionally.We believe that talent grows when presented with opportunity and this is why we encourage our people to think beyond their role. We have created a culture that enables talent to flourish, encouraging entrepreneurship, fostering team spirit, and continually building mutual trust.Role PurposeTo bridge the gap between recruitment activity and strategic client delivery by serving as the primary navigator of the recruitment data layer. This role ensures the global recruitment engine is perfectly optimized by translating operational datasets into clear, actionable insights for various teams across Randstad. You act as the “interpretation engine” for global delivery—using data to identify "storms" before they hit and collaborating with a matrix of stakeholders to implement proactive solutions.Key Responsibilities● Metric Interpretation: Move beyond reporting "what happened" to explaining "why it happened." You will deep-dive into recruitment metrics across multiple industries (e.g., Funnel Conversion Rates, Time-to-Fill, and Diversity Metrics) throughout global regions.● Predictive Flagging: Use data visualization (Tableau/Domo) to monitor performance and identify bottlenecks—such as a sudden drop in candidate pull-through● Stakeholder Synthesis: Act as the technical "connective tissue" between operational teams and supporting business units. You translate technical "red flags" into clear, evidence-based recommendations for operational support plans.● Process Optimization: Ensure global standards are met while accounting for local market nuances across EMEA, APAC, and the Americas by identifying data discrepancies and process friction.● Forecasting Support: Analyze historical data to support the building of proactive forecasts, helping clients and internal teams prepare for seasonal shifts or market volatility. Must-Have Skills The Data & Analytics Engine● Data Interpretation & Narrative Building: The ability to identify why numbers move and translate a 10% drop in "Offer Acceptance" into actionable problem statement● Visualization Tool Proficiency: Strong experience with Domo, Tableau, or Looker Studio; comfortable navigating, filtering, and extracting insights from complex dashboards.● Advanced Spreadsheet Mechanics: Expert-level Excel/Google Sheets (complex formulas, data cleaning, pivot tables) for deep-dive analysis.● Pattern Recognition: A sharp ability to spot "red flags" and anomalies within recruitment funnel data. Global Operational Excellence● Recruitment Process Experience: Solid understanding of the recruitment cycle within an international recruitment context● Global Market Fluency: Understanding how "High-Volume" vs. "Niche Tech" hiring strategies vary across different global landscapes.● Matrix Collaboration: The ability to influence and collaborate with colleagues and stakeholders across different time zones and cultures without formal reporting lines.● Market Knowledge: Staying informed on market trends, emerging candidate behaviors, and employer trends to support effective root-cause analysis. Consultative & Soft Skills● Self-Directed Ownership: Ability to manage high-level analytical tasks independently and take responsibility for data accuracy and reporting timelines.● Consultative Problem-Solving: Approaching challenges by identifying the root cause and presenting actionable takeaways to the stakeholders● Effective Communication: The ability to present complex data findings clearly and concisely to both technical and non-technical stakeholders. Nice-to-HaveSkills ● Industry experience: Preferably experience working with/as RPO/MSP models.● BigQuery & SQL Literacy: The ability to write basic queries to extract raw data independently.Is this the job for you? We would love to hear from you! Please apply directly to the role and we will get in touch with you.