Finance Analytics Manager (GTM) [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Finance Analytics Manager (GTM) based in United States.

This role sits at the intersection of Finance, Revenue Operations, and Data Analytics, acting as a core driver of go-to-market financial strategy in a high-growth SaaS environment. It is designed for a highly analytical professional who can translate complex revenue and customer data into actionable insights that shape growth, retention, and investment decisions. You will build and scale the analytical infrastructure that powers GTM performance visibility across the organization. The role combines hands-on technical execution—writing SQL, building models, and structuring experiments—with strategic partnership across FP&A, BI, Accounting, and Revenue Operations. You will play a key role in defining how core SaaS metrics are measured, interpreted, and used to guide leadership decisions. This is a high-impact, visibility-rich position in a fast-paced, data-driven environment where precision and scalability matter.

Accountabilities:

• Own the GTM analytics infrastructure, including scalable data models and reporting frameworks supporting revenue forecasting and customer performance tracking.
• Define and maintain core SaaS and GTM KPIs such as ARR, GRR, NRR, CAC, LTV, churn, conversion, and payback period metrics.
• Design, execute, and analyze GTM experiments and A/B tests to measure financial and operational impact of growth initiatives.
• Build dashboards and reporting tools that provide accurate, real-time visibility into revenue and customer lifecycle performance.
• Write and optimize complex SQL queries to extract, transform, and structure large datasets from CRM, billing, product, and data warehouse systems.
• Partner cross-functionally with FP&A, Accounting, Revenue Operations, BI, and Data Engineering to ensure alignment on data definitions and reporting standards.
• Develop scalable and automated analytics processes to improve efficiency, accuracy, and speed of insights delivery.
• Establish data governance standards and ensure a single source of truth for all GTM financial metrics.

Requirements:

• 8+ years of experience (or 6+ in relevant roles) in FP&A, data analytics, revenue analytics, or hybrid finance/data roles within high-growth SaaS companies.
• Advanced SQL proficiency with experience working in modern data warehouses (e.g., Snowflake or similar platforms).
• Strong understanding of SaaS metrics including ARR, NRR, CAC, LTV, churn, and cohort-based performance analysis.
• Proven experience designing and analyzing A/B tests and translating results into financial and business insights.
• Strong experience with BI tools such as Tableau, Looker, or Power BI, and familiarity with FP&A platforms.
• Ability to work with complex financial and operational datasets and translate them into clear business narratives.
• Strong cross-functional collaboration skills across technical and non-technical teams.
• Excellent analytical, problem-solving, and communication skills with high attention to detail.
• Ability to manage multiple priorities in a fast-paced, high-growth environment.

Benefits:

• Competitive annual salary ranging from $102,000 – $155,000.
• Remote-first work environment with strong flexibility.
• Opportunity to shape go-to-market financial strategy in a high-growth SaaS organization.
• High-impact role with direct influence on revenue, retention, and investment decisions.
• Exposure to modern data stacks, analytics tools, and scalable finance infrastructure.
• Collaborative, data-driven culture focused on automation, rigor, and continuous improvement.
• Comprehensive benefits package including healthcare and standard employee support programs (details provided during hiring process).
• Career growth opportunities in a fast-scaling, analytics-driven organization.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.