datadog
Senior Financial Systems Analyst
At a Glance
- Location
- New York, United States
- Work Regime
- hybrid
- Experience
- 1–5 years
- Posted
- 2026-06-16T15:40:24-04:00
Key Requirements
Required Skills
Domain Knowledge
- Accounting
- Automation
- Finance
Benefits & Perks
ous and competitive benefits package New hire stock equity (RSUs) and employ
Requirements
Have 1-5 years of experience in data analytics, financial systems, finance operations, or a related field.
Demonstrate proficiency with SQL and experience using Python for analytics, automation, or process improvement.
Have experience building dashboards and reports using Tableau or similar business intelligence tools such as Power BI or Looker.
Possess familiarity with financial systems such as NetSuite, Workday, Zip, or comparable platforms.
Communicate effectively across technical and non-technical audiences while demonstrating adaptability and a willingness to learn emerging technologies, including AI.
Datadog values people from all walks of life.
Compensation & Benefits
Generous and competitive benefits package
New hire stock equity (RSUs) and employee stock purchase plan
Continuous career development and pathing opportunities
Employee-focused best in class onboarding
Internal mentor and cross-departmental buddy program
Friendly and inclusive workplace culture
Responsibilities
Partner with Accounting, FP&A, Tax, and other Finance stakeholders to gather requirements and translate business needs into scalable reporting and analytics solutions.
Collaborate with cross-functional teams including IT, Business Systems, Sales Systems, and Analytics to drive data and automation initiatives.
Build and maintain dashboards and reporting tools that monitor financial and operational performance and support evolving business priorities.
Automate recurring finance processes and enhance data workflows using AI tools, data visualization platforms, and custom solutions.
Support financial system implementations and upgrades through data migration, mapping, reporting integration, testing, and validation activities.
Deliver analytical insights and maintain documentation that enables self-service reporting and informed decision-making across Finance.