Senior Analyst People Analytics & Insights

You are driven to make a real difference in the lives of patients, and Astellas, a global life sciences company, is committed to turning innovative science into value for patients. As a Senior Analyst People Analytics & Insights at Astellas, you will be responsible for designing, developing, and delivering advanced analytics solutions that enable data-driven workforce and HR decision-making. Your role will involve working closely with People Analytics Partners, HR CoEs, HR Technology, Data Engineering, and business stakeholders to translate the People Analytics roadmap into scalable dashboards, analytical products, predictive models, and insight-driven solutions. Responsibilities and Accountabilities: - Design, develop, and deploy advanced analytics solutions that address priority workforce and HR business questions. - Translate analytics roadmaps and stakeholder requirements into scalable analytical products, including dashboards, data models, diagnostic analyses, predictive models, and automated reporting solutions. - Build descriptive, diagnostic, predictive, and prescriptive analytics solutions to support HR CoEs and business stakeholders. - Develop reusable analytical frameworks, curated data assets, templates, and methodologies that improve consistency, speed, and scalability of People Analytics delivery. - Apply statistical and data science techniques to identify workforce trends, patterns, drivers, risks, and opportunities. - Analyze complex workforce datasets across domains such as headcount, attrition, retention, engagement, performance, talent acquisition, learning, DE&I, workforce planning, productivity, and organizational design. - Identify drivers and correlations behind key workforce outcomes, such as turnover risk, hiring effectiveness, engagement movement, talent pipeline health, and workforce productivity. - Conduct deep-dive analyses to support strategic HR initiatives, HR CoE priorities, and business workforce decisions. - Translate analytical outputs into clear, actionable insights and recommendations for People Analytics Partners, HR CoEs, HRBPs, and business leaders. - Develop and maintain interactive dashboards, reports, and analytics products using tools such as Tableau, Power BI, Qlik, or similar visualization platforms. - Create intuitive and user-friendly visualizations that translate complex workforce data into clear insights. - Enhance existing reporting solutions by improving usability, performance, automation, standardization, and adoption. - Ensure dashboards and reports are aligned with standardized HR metrics, reporting governance principles, and business definitions. - Partner with People Analytics Partners to ensure analytics products meet HR CoE and business needs. - Work with HR Technology, Data Engineering, and enterprise data teams to access, structure, validate, and transform HR data for analytics use. - Collaborate on data pipelines, data models, semantic layers, and curated datasets required for scalable People Analytics solutions. - Use platforms such as Databricks, Snowflake, or similar enterprise data environments to support advanced analytics and reporting. - Write and optimize SQL queries and analytical scripts to extract, transform, join, validate, and prepare workforce data. - Support automation and repeatable data assets that reduce manual reporting effort and improve analytics efficiency. - Build predictive and statistical models to support workforce planning, attrition risk identification, talent movement analysis, hiring forecasts, engagement analysis, and other HR priorities. - Apply techniques such as regression, classification, clustering, forecasting, segmentation, driver analysis, and text analytics where relevant. - Evaluate model performance, interpret results, and communicate implications in a business-friendly manner. - Ensure data science outputs are practical, explainable, ethical, and actionable for HR stakeholders. - Contribute to experimentation and continuous improvement of advanced analytics methods across People Analytics. - Validate HR datasets, metrics, definitions, calculations, and reporting logic to ensure accuracy and consistency. - Identify and investigate data quality issues impacting dashboards, models, reports, or insights. - Partner with HR Systems, Data Governance, and People Analytics teams to resolve data issues and improve data readiness. - Document data sources, assumptions, transformation logic, business rules, and metric definitions. - Ensure analytics solutions comply with data privacy, access control, and responsible analytics principles. - Partner with People Analytics Partners to understand priorities, clarify requirements, and deliver analytics solutions aligned to HR CoE roadmaps. - Collaborate with stakeholders across Talent Acquisition, Talent Management, Total Rewards, DE&I, Employee Relations, Workforce Planning, HR Operations, and HRBPs. - Manage multiple analytics deliverables, balancing speed