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About the Role

The People Data & Analytics Manager plays a key role in advancing Cartier North America’s People Data & Analytics strategy and strengthening how data is used to inform workforce and business decisions. This role will partner closely with HR Business Partners, Talent Acquisition, Finance, Retail, and other cross-functional stakeholders to translate workforce data into meaningful insights and actionable recommendations. The Manager will own and support analytics initiatives spanning workforce planning, organizational effectiveness, talent, retention, employee engagement, recruiting, and retail performance. A critical component of the role will be connecting people data with commercial and operational metrics to deepen our understanding of the relationship between talent, organizational health, client engagement, and business performance. This role requires a combination of strong analytical capabilities, business acumen, stakeholder management, and data storytelling.

Responsibilities

Lead end-to-end analysis of key workforce topics including headcount, turnover, retention, recruiting, organizational structure, performance, talent, employee engagement, and workforce productivity.
Translate business questions and hypotheses into structured analytical approaches, identifying relevant data, conducting analysis, and developing actionable recommendations.
Identify trends, risks, and opportunities within workforce data and proactively surface insights to HR and business leaders.
Develop analyses that connect people metrics with commercial, client, and operational performance to better understand the drivers of boutique and organizational performance.
Conduct deeper diagnostic and predictive analyses to help answer strategic questions such as drivers of turnover, indicators of successful hires, workforce productivity, organizational effectiveness, and talent development.
Support workforce planning and organizational design through analysis of staffing levels, workforce composition, spans and layers, vacancies, productivity, and other organizational health indicators.
Explore opportunities to introduce predictive analytics, statistical modeling, and AI-enabled approaches into People Analytics.
Own the development and ongoing enhancement of executive dashboards, scorecards, and reporting solutions using Power BI, Looker, Visier, Workday, Excel, and other analytics platforms.
Develop clear KPI frameworks that enable leadership to monitor workforce health, identify emerging trends, and evaluate progress against strategic priorities.
Transform complex datasets into intuitive visualizations and compelling narratives appropriate for HR leadership, business leaders, and executive audiences.
Continuously improve and automate recurring reporting processes to increase efficiency, scalability, and accessibility of workforce insights.
Partner with the Director, People Data & Analytics to evolve the People Analytics reporting roadmap and identify opportunities for new analytics capabilities.
Serve as a trusted analytics partner to HR Business Partners and Centers of Excellence, helping stakeholders define business questions and determine the appropriate analytical approach.
Partner with stakeholders across HR, Finance, Retail Operations, Commercial, and other functions to integrate workforce and business perspectives.
Present findings and recommendations to HR and business leaders, translating technical analysis into clear business implications and potential actions.
Build strong relationships across local, regional, and global teams to align reporting definitions, analytical methodologies, and data priorities.
Support ad hoc analyses and executive requests requiring rapid synthesis of workforce and business data.
Ensure accuracy, consistency, and integrity of workforce data across Workday, Visier, reporting tools, and other HR systems.
Develop and maintain standardized definitions, methodologies, and documentation for key People metrics and KPIs.
Partner with HRIS, HR Operations, IT, Finance, and Global teams to troubleshoot data issues and improve reporting processes and data flows.
Support the implementation, optimization, and adoption of People Analytics platforms and capabilities, including Workday and Visier.
Perform quality assurance and validation of dashboards, reports, and analyses before distribution to stakeholders and leadership.

Requirements

Bachelor’s degree in Data Science, Statistics, Economics, Business Analytics, Computer Science, Human Resources, Finance, or a related quantitative field; advanced degree a plus.
5+ years of experience in People Analytics, Business Analytics, Workforce Analytics, HR Analytics, Business Intelligence, or a related analytical function.
Demonstrated experience independently leading analytical projects from business question and hypothesis through analysis, insight development, and recommendation.
Strong proficiency in Excel and data visualization systems, with demonstrated experience developing executive-level dashboards and analytical tools.
Experience with Workday and/or Visier strongly preferred; experience with Looker, Tableau, or similar business intelligence platforms beneficial.
Experience combining and analyzing data from multiple sources; proficiency with SQL or similar data-querying tools is a plus.
Strong quantitative and analytical skills with the ability to identify patterns, diagnose business issues, and develop actionable recommendations.
Strong data visualization and storytelling capabilities, with experience communicating complex findings to non-technical audiences.
Demonstrated ability to work directly with senior stakeholders and translate ambiguous business questions into structured analytical approaches.
Strong attention to detail and commitment to data accuracy and governance.
Ability to manage multiple projects and priorities in a fast-paced, highly collaborative environment.
Experience within retail, luxury, consumer products, hospitality, or another customer-facing industry is a plus.

Skills

Data Science
Statistics
Economics
Business Analytics
Computer Science
Human Resources
Finance
Excel
Data Visualization
Workday
Visier
Looker
Tableau
SQL
Predictive Analytics
AI

Location

New York, NY

Work Type

Full-time

Experience Level

5+ years of experience

Education Level

Bachelor's degree

Salary/Compensations

$130,000-140,000

Benefits

Medical, dental, and vision programs
Health savings and flexible spending accounts
Life insurance
Disability benefits
401(k) with employer match
Paid time off
Wellness reimbursement benefit
Employee assistance program
Volunteer days off

About the Company

The story of Cartier is founded on audacity and passion. For more than 170 years we have embraced a bold, pioneering spirit that continues to inspire our teams across all Métiers from our boutiques to our workshops and corporate offices. Our 9000+ colleagues of 105 nationalities are united by a shared independent spirit and commitment to excellence, striving to continuously enrich our Maison’s heritage by pushing the boundaries of creativity.
At Richemont Americas, we aspire to reflect the ever-changing world around us. We are proud to employ talent from many different backgrounds, experiences, and identities to build a continually evolving, inclusive community where the diversity of our colleagues and clients is rich and celebrated. We believe when inclusion is fully embraced and empowered, creativity and knowledge emerge to deliver excellence, advancing the community that is uniquely Richemont Americas.
We Offer – United States
Employee wellbeing is a top priority at Richemont.
At Richemont, We Craft the Future!

Equal Opportunity

At Richemont Americas, we aspire to reflect the ever-changing world around us. We are proud to employ talent from many different backgrounds, experiences, and identities to build a continually evolving, inclusive community where the diversity of our colleagues and clients is rich and celebrated. We believe when inclusion is fully embraced and empowered, creativity and knowledge emerge to deliver excellence, advancing the community that is uniquely Richemont Americas.