Overview
The Manager, People Analytics & Insights leads the development and delivery of data-driven insights that inform workforce strategy and elevate organizational performance. This role sits at the intersection of HR, business strategy, and data analytics, transforming complex data into clear, actionable recommendations for senior leadership. Reporting to the Director of People Analytics & Insights, the role works with senior HR leaders, COE heads, and business stakeholders to lead complex, often ambiguous analytical workstreams where the method, framing, and recommendation are as important as the data itself.
Core Responsibilities
Domain Ownership: Sets the analytical agenda of Talent Acquisition and Talent Development, defining relevant metrics, and ensuring outputs are consistently high quality, strategically relevant, and aligned to organizational priorities.
Complex & Ambiguous Analysis: Lead end-to-end analysis of complex problems, independently framing the question, selecting or developing the appropriate methodology, and delivering findings that meaningfully shift understanding or decision-making.
Stakeholder Influence: Engage senior HR and business stakeholders not just to explain findings, but to shape how they think about problems, influencing approach and direction.
Insight Narrative & Recommendations: Develop well-reasoned, evidence-based recommendations.
Data Quality & Governance Standards: Take accountability for the integrity and governance of people data within the domain, driving resolution across systems and process owners and contributing to enterprise-wide data standards.
Informal Leadership: Provide ongoing coaching and quality review for junior analysts, reviewing outputs, developing analytical capability, and raising team standards through day-to-day collaboration.
Innovation & Continuous Improvement: Proactively identify where existing approaches, models, or processes are insufficient and develop new ones, building new analytical capabilities where gaps exist.
Benchmarking & External Perspectives: Lead benchmarking and external research initiatives, interpreting comparative data in context and synthesizing external trends into actionable implications for the organization.
Skills & Qualifications
Essential:
Experience: 8-12 years of experience in data analytics, people analytics, or a closely related discipline, with demonstrated experience owning analytical domains and driving insight-led decisions at a senior level in complex organizations.
Education: Degree-level qualification (or equivalent) in Data Analytics, Statistics, Economics, Organizational Psychology, Human Resources, or a related field. Postgraduate qualification or equivalent depth of practice is an advantage.
Technical Depth: Expert proficiency in BI tools (e.g. Power BI, Tableau) and Excel; advanced SQL; strong working proficiency in Python or R, including applying statistical or predictive methods to workforce data. Actively uses AI tools to enhance the quality and efficiency of analytical work.
Methodological Range: Able to design as well as apply analytical methods - including regression modelling, clustering, attrition prediction, or scenario modelling - and judge which approach is right for the problem, not just the tool at hand.
Framework & Standards Design: Demonstrated ability to design metrics frameworks, define analytical standards, or build scalable reporting infrastructure that others can work to.
HR Systems & Data Governance: Deep familiarity with HR data platforms (e.g. Workday, SAP SuccessFactors), data structures, and governance considerations, including multi-country and GDPR complexity.
Influence & Communication: Proven ability to shape how senior stakeholders think, not just reporting findings, but persuading, reframing, and leading discussions with credibility and composure under challenge.
Autonomy: Consistently works independently on ambiguous, high-stakes problems. Comfortable operating where the question is unclear, the data is imperfect, and the answer matters.
Desired:
Advanced Analytics in a Workforce Context: Hands-on experience applying predictive or machine learning techniques to people data - attrition modelling, skills clustering, internal mobility analysis, or similar.
Cross-Domain People Analytics: Experience spanning more than one analytics domain - e.g. engagement, succession planning, workforce planning, and DEI - with the ability to connect insights across them.
Global & Multi-Jurisdictional Data: Experience managing and interpreting datasets across multiple geographies, including navigating data privacy constraints.
Consulting or Embedded Advisory Experience: Background in a consulting environment or internal advisory role, with experience leading workstreams, managing stakeholder expectations, and delivering under defined accountability.
About CSL Behring
CSL Behring is a global biotherapeutics leader driven by our promise to save lives. Focused on serving patients' needs by using the latest technologies, we discover, develop and deliver innovative therapies for people living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. We use three strategic scientific platforms of plasma fractionation, recombinant protein technology, and cell and gene therapy to support continued innovation and continually refine ways in which products can address unmet medical needs and help patients lead full lives.
CSL Behring operates one of the world's largest plasma collection networks, CSL Plasma. Our parent company, CSL, headquartered in Melbourne, Australia, employs 32,000 people, and delivers its lifesaving therapies to people in more than 100 countries.
To learn more about CSL, CSL Behring, CSL Seqirus and CSL Vifor visit and CSL Plasma at .
Our Benefits
For more information on CSL benefits visit How CSL Supports Your Well-being | CSL ( .
You Belong at CSL
At CSL, Inclusion and Belonging is at the core of our mission and who we are. It fuels our innovation day in and day out. By celebrating our differences and creating a culture of curiosity and empathy, we are able to better understand and connect with our patients and donors, foster strong relationships with our stakeholders, and sustain a diverse workforce that will move our company and industry into the future.
To learn more about inclusion and belonging visit
Equal Opportunity Employer
CSL is an Equal Opportunity Employer. If you are an individual with a disability and need a reasonable accommodation for any part of the application process, please visit .
R-278498
CSL makes all employment decisions without regard to race, color, religion, national origin, ancestry, age, sex, gender, pregnancy, disability, marital status, sexual orientation, gender identity, genetic information, military status, protected veteran status (specifically status as a disabled veteran, recently separated veteran, armed forces service medal veteran, or active duty wartime or campaign badge veteran) or other classification protected by applicable US federal, state or local law. CSL complies with all applicable employment laws, including but not limited to Title VII of the Civil Rights Act of 1964, the Americans with Disabilities Act, the Fair Labor Standards Act, and the Immigration Reform and Control Act.
Overview
The Manager, People Analytics & Insights leads the development and delivery of data-driven insights that inform workforce strategy and elevate organizational performance. This role sits at the intersection of HR, business strategy, and data analytics, transforming complex data into clear, actionable recommendations for senior leadership. Reporting to the Director of People Analytics & Insights, the role works with senior HR leaders, COE heads, and business stakeholders to lead complex, often ambiguous analytical workstreams where the method, framing, and recommendation are as important as the data itself.
Core Responsibilities
Domain Ownership: Sets the analytical agenda of Talent Acquisition and Talent Development, defining relevant metrics, and ensuring outputs are consistently high quality, strategically relevant, and aligned to organizational priorities.
Complex & Ambiguous Analysis: Lead end-to-end analysis of complex problems, independently framing the question, selecting or developing the appropriate methodology, and delivering findings that meaningfully shift understanding or decision-making.
Stakeholder Influence: Engage senior HR and business stakeholders not just to explain findings, but to shape how they think about problems, influencing approach and direction.
Insight Narrative & Recommendations: Develop well-reasoned, evidence-based recommendations.
Data Quality & Governance Standards: Take accountability for the integrity and governance of people data within the domain, driving resolution across systems and process owners and contributing to enterprise-wide data standards.
Informal Leadership: Provide ongoing coaching and quality review for junior analysts, reviewing outputs, developing analytical capability, and raising team standards through day-to-day collaboration.
Innovation & Continuous Improvement: Proactively identify where existing approaches, models, or processes are insufficient and develop new ones, building new analytical capabilities where gaps exist.
Benchmarking & External Perspectives: Lead benchmarking and external research initiatives, interpreting comparative data in context and synthesizing external trends into actionable implications for the organization.
Skills & Qualifications
Essential:
Experience: 8-12 years of experience in data analytics, people analytics, or a closely related discipline, with demonstrated experience owning analytical domains and driving insight-led decisions at a senior level in complex organizations.
Education: Degree-level qualification (or equivalent) in Data Analytics, Statistics, Economics, Organizational Psychology, Human Resources, or a related field. Postgraduate qualification or equivalent depth of practice is an advantage.
Technical Depth: Expert proficiency in BI tools (e.g. Power BI, Tableau) and Excel; advanced SQL; strong working proficiency in Python or R, including applying statistical or predictive methods to workforce data. Actively uses AI tools to enhance the quality and efficiency of analytical work.
Methodological Range: Able to design as well as apply analytical methods - including regression modelling, clustering, attrition prediction, or scenario modelling - and judge which approach is right for the problem, not just the tool at hand.
Framework & Standards Design: Demonstrated ability to design metrics frameworks, define analytical standards, or build scalable reporting infrastructure that others can work to.
HR Systems & Data Governance: Deep familiarity with HR data platforms (e.g. Workday, SAP SuccessFactors), data structures, and governance considerations, including multi-country and GDPR complexity.
Influence & Communication: Proven ability to shape how senior stakeholders think, not just reporting findings, but persuading, reframing, and leading discussions with credibility and composure under challenge.
Autonomy: Consistently works independently on ambiguous, high-stakes problems. Comfortable operating where the question is unclear, the data is imperfect, and the answer matters.
Desired:
Advanced Analytics in a Workforce Context: Hands-on experience applying predictive or machine learning techniques to people data - attrition modelling, skills clustering, internal mobility analysis, or similar.
Cross-Domain People Analytics: Experience spanning more than one analytics domain - e.g. engagement, succession planning, workforce planning, and DEI - with the ability to connect insights across them.
Global & Multi-Jurisdictional Data: Experience managing and interpreting datasets across multiple geographies, including navigating data privacy constraints.
Consulting or Embedded Advisory Experience: Background in a consulting environment or internal advisory role, with experience leading workstreams, managing stakeholder expectations, and delivering under defined accountability.
About CSL Behring
CSL Behring is a global biotherapeutics leader driven by our promise to save lives. Focused on serving patients' needs by using the latest technologies, we discover, develop and deliver innovative therapies for people living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. We use three strategic scientific platforms of plasma fractionation, recombinant protein technology, and cell and gene therapy to support continued innovation and continually refine ways in which products can address unmet medical needs and help patients lead full lives.
CSL Behring operates one of the world's largest plasma collection networks, CSL Plasma. Our parent company, CSL, headquartered in Melbourne, Australia, employs 32,000 people, and delivers its lifesaving therapies to people in more than 100 countries.
To learn more about CSL, CSL Behring, CSL Seqirus and CSL Vifor visit and CSL Plasma at .
Our Benefits
For more information on CSL benefits visit How CSL Supports Your Well-being | CSL ( .
You Belong at CSL
At CSL, Inclusion and Belonging is at the core of our mission and who we are. It fuels our innovation day in and day out. By celebrating our differences and creating a culture of curiosity and empathy, we are able to better understand and connect with our patients and donors, foster strong relationships with our stakeholders, and sustain a diverse workforce that will move our company and industry into the future.
To learn more about inclusion and belonging visit
Equal Opportunity Employer
CSL is an Equal Opportunity Employer. If you are an individual with a disability and need a reasonable accommodation for any part of the application process, please visit .
R-278498
CSL makes all employment decisions without regard to race, color, religion, national origin, ancestry, age, sex, gender, pregnancy, disability, marital status, sexual orientation, gender identity, genetic information, military status, protected veteran status (specifically status as a disabled veteran, recently separated veteran, armed forces service medal veteran, or active duty wartime or campaign badge veteran) or other classification protected by applicable US federal, state or local law. CSL complies with all applicable employment laws, including but not limited to Title VII of the Civil Rights Act of 1964, the Americans with Disabilities Act, the Fair Labor Standards Act, and the Immigration Reform and Control Act.
