Senior Associate - Data Analyst

New York Life•New York, NY

15d•$100,000 - $143,000•Hybrid

About The Position

New York Life’s Technology, Data, AI & Ventures organization is advancing a workforce transformation focused on how the organization plans, staffs, and operates for the future. The Workforce Data Analyst will partner with workforce, technology, and operations leaders to frame complex business questions, analyze workforce and operational data, and translate insights into clear recommendations that support strategic decision-making. This role is suited for an analytical professional who can bring structure to ambiguous problems, communicate effectively with technical and non-technical stakeholders, and use data to help leaders evaluate workforce trade-offs and opportunities.

Requirements

5–10 years of experience in data analysis, business analytics, workforce analytics, or a related field, with a demonstrated track record of influencing business decisions.
Strong analytical skills, sound judgment, and the ability to distinguish meaningful insights from complex data sets.
Proficiency in SQL for data extraction, analysis, and validation.
Ability to bring structure to ambiguous problems and define analytical approaches that support business decisions.
Strong verbal and written communication skills, with the ability to present complex findings clearly to senior leaders and cross-functional stakeholders.
Collaborative, hands-on approach with the ability to guide others, elevate team capability, and support continuous improvement.

Nice To Haves

Experience working with workforce-related data, including headcount, role composition, organizational distribution, skills, capacity, and cost.
Familiarity with Databricks or comparable cloud-based data platforms.
Experience supporting workforce planning, organizational transformation, or operating rhythms within technology, data, or AI organizations.
Exposure to automation or AI-enabled solutions in an operational or analytical environment.

Responsibilities

Partner with business and workforce stakeholders to understand strategic questions and translate them into analytical approaches that support informed decision-making.
Analyze workforce and operational data, including headcount, role mix, distribution, OKRs, health indicators, cost, skills, and capacity utilization, to support workforce planning across TDAV.
Build analytical models that help leaders evaluate workforce trade-offs, including hiring strategies, skill development priorities, and alignment of team capacity with business needs.
Present findings through clear data storytelling, enabling technical and non-technical audiences to understand insights, implications, and recommended actions.
Identify opportunities to improve data quality, analytical processes, and workforce reporting capabilities to strengthen organizational decision-making over time.