Senior Revenue Strategy Analyst (SaaS)

TL;DR

Senior Revenue Strategy Analyst (SaaS): Analyzing Go-To-Market (GTM) analytics and insights to drive upsell and new business within the customer base with an accent on data analysis, communication, and business acumen. Focus on providing strategic data-driven recommendations to senior GTM leadership and diagnosing process bottlenecks.

Location: Remote in United States or Canada with a strong preference for MST and PST timezones

Salary: Between $96,000 USD and $134,000 USD (USA-based roles) or between $89,000 CAD and $125,000 CAD (Canada-based roles)

Company

hirify.global is building the foundation for a safe, productive digital future, innovating the market-leading enterprise password manager and pioneering Extended Access Management.

What you will do

• Serve as the primary analytics partner to GTM leadership, shaping questions and translating data into actionable recommendations.
• Deliver high-impact analyses and dashboards that address critical business challenges and inform executive decision-making.
• Define, govern, and track GTM KPIs to ensure alignment with company goals and evolve them as business needs change.
• Write optimized SQL queries, build dbt models, and manage version control using Git.
• Design, develop, and own dashboards in Salesforce and Looker, highlighting leading indicators and opportunities.
• Partner with Data Engineering to build scalable data solutions and onboard new data sources.

Requirements

• 5+ years of experience using data to drive business decisions within a SaaS or GTM environment.
• 5+ years of hands-on experience writing SQL queries and building data models using dbt.
• Proven ability to partner with senior GTM leaders and translate complex data into actionable insights.
• Expertise with visualization tools such as Hex, Looker, or Tableau.
• Familiarity with revenue technology (revtech) software such as Salesforce, Outreach, Gong, ZoomInfo, or 6sense.
• Strong foundation in statistics and probability concepts, with experience applying forecasting, predictive modeling, or operational optimization techniques to revenue analytics.

Culture & Benefits

• Prioritize collaboration, clear and transparent communication, and receptiveness to feedback.
• Embracing the future of AI is encouraged.
• Remote-first work environment with travel for in-person engagement (annual department-wide offsites, team meetings, and customer/industry events).
• Generous PTO policy.
• RSU program for most employees.
• Retirement matching program.