Total Rewards Analyst

Gal Manufacturing, a Vantage Elevation CompanyNew York, NY
Onsite

About The Position

If you’re someone who genuinely loves working with data, gets excited when a spreadsheet finally clicks, enjoys uncovering the story behind the numbers, and wants to build a career at the intersection of people, analytics, and operations, we invite you to explore this opportunity. We are seeking a forward-thinking and detail-oriented Total Rewards Analyst to join the Total Rewards team at Vantage Elevation — someone who is passionate about turning data into insights and contributing to meaningful business decisions. Vantage Elevation, LLC is an independent, industry-leading manufacturer of elevator components and systems with a long history of innovation and reliability. Founded in 1899, Vantage employes over 1,000 people across manufacturing sites and offices in the United States, Canada, and the United Kingdom. Through its family of brands, GAL Manufacturing, GAL Canada, Hollister-Whitney, Elevator Controls, Courion, Bore-Max, Thames Valley Controls, and Vertical Dimensions, Vantage supports nearly every electro-mechanical device used in modern elevators. Vantage’s mission is to safely connect people and communities by providing reliable elevator solutions. We support our teams, work closely with our customers, and hold ourselves accountable for quality, safety, and integrity in everything we do.

Requirements

  • Is energized by data, enjoy working in spreadsheets, finding patterns, and asking “why does this look this way?”
  • Has strong Excel skills, comfortable with pivot tables, VLOOKUPs/XLOOKUPs, formulas, and building clean, functional models
  • Is detail-oriented and accurate, catch errors before they become problems
  • Communicates clearly, can translate what the data says into something a non-analyst can understand
  • Is discreet and professional, understand that compensation and benefits data is sensitive and treat it accordingly
  • Is eager to learn, ask good questions and take feedback well
  • Can manage multiple priorities without dropping the ball
  • Bachelor’s degree in business, economics, finance, mathematics, or a related analytical field (or equivalent experience)
  • Proficiency in Microsoft Excel, pivot tables, formulas, data organization
  • Strong analytical and critical thinking skills
  • High degree of professionalism and personal integrity

Nice To Haves

  • Experience with HRIS platforms, payroll systems, or reporting tools (e.g., Paycom, Workday, ADP, UKG)
  • Familiarity with data visualization tools (e.g., Power BI, Tableau)
  • Exposure to compensation, benefits, workforce analytics (even if only through coursework or internships)

Responsibilities

  • Build and maintain headcount reports and dashboards that track workforce trends over time
  • Support headcount forecasting by compiling and validating data from HR systems
  • Identify trends in attrition, growth, workforce composition and surface findings clearly
  • Partner with HR and Finance to ensure headcount data is accurate and reconciled
  • Assist with annual compensation planning cycles, merit processes, and salary benchmarking
  • Maintain and audit compensation data to ensure accuracy and consistency
  • Build and update Excel models and tools used in compensation analysis and reporting
  • Help administer compensation programs and ensure timely, accurate execution
  • Analyze benefits enrollment, utilization, and cost trend data to identify opportunities and flag concerns
  • Prepare reports for open enrollment planning, vendor reviews, and leadership updates
  • Support day-to-day benefits program administration and employee data maintenance
  • Track key benefits metrics and assist in evaluating program effectiveness
  • Maintain clean, well-organized data and documentation
  • Identify process improvement opportunities and help build more efficient workflows
  • Handle all work with a high degree of professionalism given the confidential nature of the data
  • Be curious, ask questions, dig into the numbers, and bring insights, not just outputs
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