Enterprise Workforce Management Product Analyst, Vice President at Citi

Tampa, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Mar, 26

Salary

0.0

Posted On

20 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Data Visualization, Statistical Methods, A/B Testing, Regression Analysis, Predictive Modeling, Product Analytics, User Behavior Analysis, Communication Skills, Problem-Solving, Critical Thinking, Data Governance, Workforce Management, HR Analytics, Quantitative Analysis

Industry

Financial Services

Description

Firm understanding of the business and HR needs and priorities to inform the execution of workforce management/human capital strategy globally. Leads projects and generates new ideas and conceptual frameworks to help solve problems, providing hands-on delivery and creating insightful, data-driven findings and recommendations. Translates complex data into actionable insights for leadership. Defines, tracks, and reports on key performance indicators (KPIs) and metrics related to workforce management initiatives and the adoption/impact of new workforce tools and features. Collaborates closely with product managers and engineering teams to define data requirements for new workforce management tools/features, analyze user behavior, and measure the effectiveness of product enhancements. Designs and executes A/B tests or similar experimental methodologies to evaluate the impact of different workforce strategies or tool functionalities. Expert ability to drill-down, discern, analyze, and synthesize large datasets to provide deep insights for the business and product development. Leads consultation on thought leadership for workforce planning, skills, and organizational development, leveraging quantitative analysis. Actively partners with the Business, Technology & internal Enterprise Workforce Management pillars, globally to execute successfully on the strategy. Sparks ongoing communication across the global business to engage all global employees in initiatives, processes, and updates. Ensures the accuracy, consistency, and reliability of workforce data, working to establish and maintain robust data governance standards. 6-10 years of experience in a data-intensive role, preferably within Product Analytics, Data Analytics, or Workforce/HR Analytics. Consistently demonstrates clear and concise written and verbal communication skills, with the ability to present complex data insights to diverse audiences. Strong proficiency in SQL for advanced data extraction and manipulation. Demonstrated expertise with data visualization tools (e.g., Tableau, Power BI, Looker) to create compelling dashboards and reports. Experience with statistical programming languages (e.g., Python, R) for data analysis and modeling is highly desirable. Solid understanding of statistical methods and their application to business problems, including A/B testing, regression analysis, and predictive modeling. Familiarity with product analytics platforms (e.g., Amplitude, Mixpanel, Google Analytics) and concepts of user behavior analysis is a strong plus. Self-motivated, detail-oriented, with exceptional analytical, problem-solving, and critical thinking skills. Proven ability to translate business questions into analytical frameworks and actionable recommendations. Bachelor's/University degree, Master's degree preferred, in a quantitative field such as Business Analytics, Statistics, Computer Science, Economics, or a related discipline; managerial experience. Experience with HR/Workforce data systems and understanding of human capital analytics is a significant advantage. ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Jan 09, 2026 ------------------------------------------------------

Responsibilities

The role involves leading projects to inform workforce management strategies and translating complex data into actionable insights for leadership. The analyst will collaborate with product managers and engineering teams to define data requirements and measure the effectiveness of product enhancements.