Senior Finance Analytics Manager (SaaS)

TL;DR

Senior Finance Analytics Manager (SaaS): Establishing the Corporate Finance Analytics function by building data models and reporting frameworks with an accent on key operating metrics and executive storytelling. Focus on optimizing corporate data architecture, developing production-quality dashboards, and mapping operational trends to financial outcomes.

Location: Remote (Must be based in the United States)

Salary: $143,759 - $172,511

Company

hirify.global is the company behind the open observability cloud, providing a fully managed platform for data visualization and monitoring used by millions of users.

What you will do

• Partner with distributed data teams to build and optimize corporate data architecture and reliable data models.
• Design and maintain production-quality dashboards and automated tooling for real-time monitoring of key operating metrics.
• Develop advanced analytical models to uncover deep insights into customer behaviors and macro trends.
• Synthesize complex data into structured narratives and actionable insights for executive leadership and senior management.
• Lead cross-functional projects to create datasets and provide enablement for finance and business teams to self-serve.
• Maintain rigorous QA support for core financial data and handle urgent ad-hoc analysis requests.

Requirements

• 5+ years of experience in corporate analytics, financial analytics, or data science, ideally in a SaaS business.
• 5+ years of professional SQL experience writing complex and efficient queries for production data models.
• 3+ years of experience building user-focused dashboards in tools like Looker, Tableau, Mode, or Sisense.
• Practical experience with modern data warehouses (BigQuery, Snowflake) and ETL processes (dbt is highly desirable).
• Familiarity with NetSuite and Salesforce data structures and financial data flows.
• Must be based in the United States.

Nice to have

• Experience in high-growth SaaS or cloud companies, particularly those with public company or IPO readiness context.
• Proven success working in globally distributed, remote-first organizations.
• Experience with AI/LLM data preparation, MCP server ingestion, or constructing AI plugins for internal data discovery.

Culture & Benefits

• 100% remote, global culture built on trust, autonomy, and transparency.
• Competitive compensation package including Restricted Stock Units (RSUs).
• Global annual leave policy of 30 days, including dedicated company shutdown days.
• Defined career growth pathways and an innovation-driven environment.
• In-person onboarding to integrate new team members into the company culture.