Heavy Construction Systems Specialists Llc

Heavy Construction Systems Specialists Llc

Senior Analyst - GTM Finance

Sugar Land, USA · Senior

Sponsorship not specifiedDetected 21 days ago
Data VisualizationSalesforceCRMFinancial ModelingAccountingForecastingExcelFP&AERPHRISCustomer SuccessLeadershipCommunicationNetSuiteVariance Analysis

About the role

  • We have earned Best Companies to Work for in Texas honors for 18 consecutive years and have been named a USA Today Top Workplace.
  • This is a senior individual contributor role for a finance professional who thrives at the intersection of revenue analytics, GTM strategy, and operational rigor.
  • The successful candidate will be the financial voice in the room for the Chief Revenue Officer, the VP of Customer Success, RevOps leadership, and the broader sales and marketing organization.

Requirements

  • Bachelor's degree in Finance, Accounting, Economics, or a related quantitative field required 4-7 years of progressive experience in

Nice to have

  • able to translate revenue analytics into clear narrative for executive audiences Ability to work standard Central Time business hours
  • availability during close cycle, bookings cutoff, and forecast review periods as needed Experience designing or modeling commission plans and

Skills

  • Strong technical modeling skills combined with commercial fluency are essential.

Benefits

  • Dog-friendly campus and WiFi-accessible courtyards 401(k) with a 5% company match Coverage for employee professional development and wellness And more!
  • Some of the benefits and perks we offer include:

Company info

  • Part of our mission is to provide a great life for our employees.

Visa & Work Authorization

  • nalytics, or RevOps Prior experience in a PE-backed SaaS environment with exposure to board-level revenue reporting and sponsor-driven KPI frameworks Demonstrated mastery of SaaS revenue metrics, including ARR bridge con

This listing is sourced directly from Heavy Construction Systems Specialists Llc's careers page and normalized into a canonical job model.