Senior Analyst - People Analytics & Insights

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 [https://www.astellas.com/en].

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 People Operations Advisor plays a crucial part in maintaining employee
satisfaction by ensuring accurate and timely support to the organization and its
stakeholders. The role will work closely with the People Operations team, and
other stakeholders to ensure compliance with all applicable laws and
regulations.

Qualifications

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/ skills and experience

* 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

Astellas’ Global Capability Centres – Overview 

Astellas’ Global Capability Centres (GCCs) are strategically located sites that
give Astellas the ability to access talent across various functions in the value
chain and to co-locate core capabilities that are currently dispersed. ‹Our
three GCCs are located in India, Poland and Mexico.

The GCCs will enhance our operational efficiency, resilience and innovation
potential, enabling a timely response to changing business demands.

Our GCCs are an integral part of Astellas, guided by our shared values and
behaviors, and are critical enablers of the company’s strategic priorities,
sustainable growth, and commitment to turn innovative science into VALUE for
patients.

  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. 

"Beware of recruitment scams impersonating Astellas recruiters or
representatives. Authentic communication will only originate from an official
Astellas LinkedIn profile or a verified company email address. If you encounter
a fake profile or anything suspicious, report it promptly to LinkedIn's support
team through LinkedIn Help"