The posting
About Astellas Astellas is a global life sciences company committed to turning innovative science into VALUE for patients. We provide transformative therapies in disease areas that include oncology, ophthalmology, urology, immunology and women's health. Through our research and development programs, we are pioneering new healthcare solutions for diseases with high unmet medical need. Learn more at Astellas.com.
Are you driven to make a real difference in the lives of patients? We're seeking passionate individuals who thrive in dynamic environments, embrace new ideas, and aren't afraid to take intelligent risks. People who act with unwavering integrity and are deeply committed to making a tangible impact.
Purpose and Scope: The Senior Analyst – People Analytics & Insights is responsible for designing, developing and delivering advanced analytics solutions that enable data-driven workforce and HR decision-making. The role works 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. While People Analytics Partners shape priorities and roadmaps with HR CoEs, this role provides the hands-on analytics, data science, visualization and technical solutioning required to operationalize those priorities.
Responsibilities and Accountabilities:
Advanced People Analytics Solution Development
- 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.
Data Analysis, Modelling and Insight Generation
- Analyse 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 insight narratives and data storytelling outputs that clearly explain findings, implications and recommended actions
Dashboard, Reporting and Visualization Development
- 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.
Data Engineering Collaboration and Analytics Enablement
- 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.
Predictive Analytics and Data Science
- 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
Data Quality, Governance and Metric Standardization
- 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.
Stakeholder Partnership and Delivery
- 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, quality, stakeholder needs and scalability.
- Present analytical findings, solution prototypes and recommendations to People Analytics stakeholders.
- Contribute to a culture of data-driven decision-making across HR
Required Qualifications:
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Business Analytics, HR Analytics or a related field.
- 5+ years of experience in people analytics, workforce analytics, HR analytics, business analytics, data analytics or data science.
- Strong hands-on experience developing dashboards and analytics solutions using Tableau, Power BI, Qlik or similar BI/visualization tools.
- Experience working with enterprise data platforms such as Databricks, Snowflake, cloud data warehouses, lakehouses or similar environments.
- Strong proficiency in SQL for data extraction, transformation, joining, validation and analysis.
- Experience using Python, R or similar analytical programming languages for data analysis, automation, statistical analysis or modelling.
- Experience working with HR datasets such as headcount, attrition, engagement, hiring, talent, performance, compensation, DE&I, learning or workforce planning.
- Demonstrated ability to translate complex data into clear insights, recommendations and business-ready narratives.
- Strong understanding of data quality, metric definitions, governance and reporting logic.
- Ability to work with cross-functional stakeholders across HR, technology, data and business teams
Preferred Qualifications:
- Experience in predictive analytics, machine learning, statistical modelling, forecasting, workforce segmentation or driver analysis.
- Experience with Databricks for data preparation, analytics development, notebook-based analysis or machine learning workflows.
- Experience with HR platforms such as SuccessFactors, Workday or similar HRIS systems.
- Experience with SuccessFactors Story Reporting, People Analytics or similar HR reporting capabilities.
- Experience in global organizations, shared services, matrixed environments or regulated industries.
- Understanding of HR processes across Talent Acquisition, Talent Management, Total Rewards, DE&I, Workforce Planning and Employee Experience.
- Experience developing reusable analytics products, curated datasets, semantic layers or automated reporting pipelines.
- Familiarity with responsible AI, ethical analytics, privacy and people data governance Working Environment: At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas’ Responsible Flexibility What awaits you at Astellas?
- Global collaboration: Become part of a connected global business of like-minded life science leaders, all dedicated to improving patients' lives worldwide.
- Real-world patient impact: Contribute to transformative therapies that reach patients around the world, knowing your work makes a difference every day.
- Relentless Innovation: Join a company at the forefront of scientific breakthroughs, where you'll have the opportunity to shape the future of healthcare.
- A Culture of Growth: Chart your own course within a supportive environment that values your contributions, champions your development, and empowers you to pursue your passions.
- Our Organizational Values and Behaviors Values: Innovation, Integrity and Impact sit at the heart of what we do. Behaviors: We come together as ‘One Astellas’, working with courage and a sense of urgency. We are outcome focused and consistently take accountability for our personal contribution.
