Help State Street’s Global Human Resources (GHR) turn complex, enterprise-scale workforce data into clear, actionable insights that inform senior leadership decisions. This role is hands-on and analytics-driven, focusing on data transformation, visualization and modeling, while also partnering closely with HR and business leaders to ensure that resulting executive-ready insights are translated into meaningful action.

Specific duties of the position include

• Establish new ways of leveraging both existing and emerging technologies, such as GenAI tools (e.g., Copilot) and data lake house (e.g., Databricks), to accelerate analysis, enable new insights, and improve workflows, resulting in deepened insights being delivered at the leadership level
  • Transform large, multi-source, global datasets with varying structures into a single, coherent data model to support deeper analysis
  • Apply advanced machine learning techniques, such as regression modeling, to uncover and quantify the drivers of employee behavior and outcomes

Specific duties of the position include

• Establish new ways of leveraging both existing and emerging technologies, such as GenAI tools (e.g., Copilot) and data lake house (e.g., Databricks), to accelerate analysis, enable new insights, and improve workflows, resulting in deepened insights being delivered at the leadership level:
  • Transform large, multi-source, global datasets with varying structures into a single, coherent data model to support deeper analysis
  • Apply advanced machine learning techniques, such as regression modeling, to uncover and quantify the drivers of employee behavior and outcomes

• Utilize Business Intelligence tools like Tableau and PowerBI to design, build, test, and deliver executive‑ready dashboards, visualizations and models that synthesize data into meaningful insights for business partners
• Own analytical deliverables end-to-end, from problem definition and data preparation through model/data visualization, and executive communication
• Ensure dashboards and models are analytically sound, scalable, and aligned with business partners decision making needs and strategic direction
• Translate complex and ambiguous non-routine requests into actionable steps with minimal direction from above. Adapt quickly as priorities evolve, while maintaining analytical rigor and data quality
• Interpret and communicate analytical results and recommendations to both technical and non-technical stakeholders, including senior leadership, in a concise and compelling manner

Required Experience

• Bachelor's degree, or its equivalent, in Business Analytics or related field
• 5 years of experience in data analytics, business analytics, or advanced reporting role
• Advanced proficiency with BI tools, such as Tableau or PowerBI, including designing, building and publishing complex dashboards
• Strong experience working with large datasets in data warehouses or data lake environments (e.g., Databricks)
• Experience with statistical analysis techniques, such as regression modeling, and applying them to real business problems
• Experience with programming languages, such as R and Python, for statistical modeling, and SQL for complex queries
• Proficiency in Microsoft Excel and PowerPoint for analysis and executive presentations
• Experience partnering with leadership-level stakeholders to translate analytical findings into actionable insights
• Strong written and verbal communication skills, including ability to present complex analyses clearly and concisely

Preferred Experience

• Experience applying analytics skills within Human Resources, People Analytics, or workforce-related domains, or in similar domains involving human behavior, organizational outcomes, or operational decision making
• Familiarity with HR metrics and KPIs (e.g., attrition, hiring, mobility, workforce planning) is a plus, but not required

Salary Range:

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Salary : $80,000 - $140,000