People Analytics Analyst, Assistant Vice President

State Street•Boston, MA

About The Position

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

Requirements

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

Nice To Haves

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

Responsibilities

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

Benefits

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)
eligibility for certain tax advantaged savings plans
inclusive development opportunities
flexible work-life support
paid volunteer days
vibrant employee networks