State Street

State Street

Posted via Workday

People Analytics Analyst, Assistant Vice President

Apply by Nov 13, 2026

Posted Oct 29, 2026

Role at a glance

Job function
AI & Data Data Analytics
Salary
$80K – $140K/yr
Location
Boston, Massachusetts, United States
Employment
Full-time
Experience
5+ years of experience in data analytics, business analytics, or advanced reporting role
Education
Bachelor's degree, or its equivalent, in Business Analytics or related field

Spotted an issue?

We’ll check it against the original posting.

Log in to report

Role Summary

AI-generated

This People Analytics role within State Street's Global Human Resources team turns enterprise-scale workforce data into executive-ready insights through data transformation, visualization, and modeling, while partnering with HR and business leaders to act on those insights.

What You'll Do

  • Establish new ways of leveraging existing and emerging technologies, such as GenAI tools and data lake house platforms, to accelerate...
  • Transform large, multi-source, global datasets with varying structures into a single, coherent data model
  • Apply advanced machine learning techniques, such as regression modeling, to uncover and quantify drivers of employee behavior and outcomes
  • Utilize Tableau and PowerBI to design, build, test, and deliver executive-ready dashboards, visualizations, and models
  • Own analytical deliverables end-to-end, from problem definition and data preparation through model/data visualization and executive...
  • Translate complex and ambiguous non-routine requests into actionable steps with minimal direction while maintaining analytical rigor and...

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

A bachelor's degree or equivalent in business analytics or a related field, 5+ years of analytics experience, and advanced BI, statistical, and communication skills.

Required

  • 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

Preferred

  • Experience applying analytics skills within Human Resources, People Analytics, or workforce-related domains, or in similar domains...
  • Familiarity with HR metrics and KPIs (e.g., attrition, hiring, mobility, workforce planning)

Original job description

Content provided by the employer

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:

$80,000 - $140,000 Annual

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.


Discover more information on jobs at StateStreet.com/careers


Read our CEO Statement

Job Application Disclosure:

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.

State Street

About the company

State Street

Large Enterprise

State Street is a leading financial services and bank holding company, headquartered in Boston, Massachusetts. With a strong focus on investment management and servicing solutions, State Street supports institutional investors worldwide by providing services such as asset management, investment research, and trading. Renowned for its commitment to innovation and sustainability, State Street leverages advanced technology and data analytics to enhance investment strategies and customer experiences. The company prioritizes diversity and inclusion within its workforce, reflecting its dedication to fostering a dynamic and collaborative environment.