Advanced Analytics Manager (SaaS)

TL;DR

Advanced Analytics Manager (SaaS): Leading Sales and GTM analytics initiatives, transforming complex datasets into actionable insights to improve pipeline performance, resource allocation, and revenue outcomes. Focus on data-driven decision-making and strategic recommendations for Sales, Marketing, and Customer Success.

Location: New York – Remote, Boston, MA, Massachusetts – Remote, District of Columbia - Remote

Salary: 132,160.00 - 207,680.00 USD

Company

hirify.global is a leading cybersecurity company protecting organizations' greatest assets and biggest risks: their people.

What you will do

• Lead analytics projects across pipeline health, forecasting, territory and account planning, and customer health.
• Translate business challenges into structured analytical questions and deliver insights that inform GTM strategy and revenue planning.
• Design, develop, and maintain executive-level dashboards and insights tools using Power BI (or equivalent).
• Present insights and strategic recommendations to VP+ and executive audiences across Sales, Marketing, and Revenue leadership.
• Collaborate on analytics best practices, data governance, and scalable reporting processes.

Requirements

• 6+ years of experience in analytics, business intelligence, or revenue/sales operations roles within a B2B SaaS, tech or similar environment.
• Strong fluency in SQL, including building and optimizing complex queries across multiple data sources.
• Expertise in Power BI (or similar BI tools) and advanced Excel; proficiency in PowerPoint for executive storytelling.
• Demonstrated ability to build dashboards and define KPIs that drive visibility and decision-making.
• Strong data storytelling, stakeholder management, and executive communication skills.
• Exceptional prioritization, multitasking, and project management abilities in a fast-paced environment.

Nice to have

• Background in GTM analytics, commercial strategy, or revenue operations.
• Familiarity with Salesforce, customer data platforms, or revenue intelligence tools.
• Exposure to AI/ML applications, experimentation frameworks, or statistical modeling.
• Experience with Power Platform (Power Apps, Power Automate) is a plus.

Culture & Benefits

• Competitive compensation and comprehensive benefits package.
• Learning & Development: A range of programs including leadership and professional development workshops and mentoring opportunities.
• Flexible work environment with remote options, hybrid schedules, and flexible hours.
• Annual wellness and community outreach days.
• Global collaboration and networking opportunities.