HR- People Analytics Co Op at Wellington Management in Boston, MA

  • Company: Wellington Management
  • Location: Boston, MA, United States
  • Salary: $19 – $35/hr
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-09-16

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Job description

About Us Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients. About the Role The Company Tracing our roots to 1928, Wellington Management Company, LLP (WMC) is one of the world’s largest independent investment management firms. With over $1 trillion in assets under management, we serve as a trusted adviser to institutional clients and mutual fund sponsors in over 60 countries. Our innovative investment solutions are built on the strength of proprietary, independent research and span nearly all segments of the global capital markets, including equity, fixed income, multi-asset, and alternative strategies. As a private partnership whose sole business is investment management, our long-term views and interests are aligned with those of our clients. We are committed to attracting a talented and diverse workforce, and to fostering an open, collaborative culture of inclusivity because we believe multiple perspectives lead to more informed investment and business decisions. As an Equal Opportunity Employer, we welcome people with diverse life experiences, fresh ideas, and specialized subject-matter expertise . The Position The People Analytics team at Wellington is seeking a data analytics professional who is motivated by delivering data-driven insights that enable leaders to proactively plan their talent needs; evaluate and strengthen organizational effectiveness ; identify past and future trends leveraging predictive analytics ; and make informed talent decisions that drive business outcomes. The co-op for this team will bring technical expertise to the team to help build analytical models with practical, valuable applications in areas such as strategic workforce planning, attracting and retaining talent, employee engagement, high-potential talent identification & development, and employee development. This could include AI-driven analytical solutions, consolidati ng and streamlining dashboards to simplify user experience, improving our data quality and architecture , and building visualization tools to support scalable and automated analytics. This is a hands ‑ on opportunity for a curious, data ‑ driven problem ‑ solver to apply analytical skills in a real ‑ world HR environment while collaborating closely with partners across Talent, HR, and broader business teams. As a data-driven organization, this role is critical to advancing our analytical maturity by fully utilizing our HR data lake to predict future trends, identify leading indicators, define data limits, and evaluate program success. We have an exciting roadmap ahead! Responsibilit i es The c o-op will have day-to-day responsibility of supporting our People Analytics function with deliver ing high-quality and reliable monthly and quarterly analytical support, maintain ing critical dashboards, and supporting client and ad hoc reporting requests . Additionally, the role will have a few key projects across all areas of human resources to help advance and scale our reporting capabilities. A sample of your responsibilities might include : Use your technical expertise in data science to lead the prediction and forecasting workstream and build capabilities within HR and cross-functionally using HR data Proposing, testing and validat ing AI-driven analytical models and technology capabilities to redesign the way we work to be more efficient and effective Proactively identify research opportunities by mining data to generate practical talent insights for the business Decommissioning and consolidating re

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