datadog

Senior Financial Systems Analyst

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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

Power BIPythonSQLTableau

Domain Knowledge

  • Accounting
  • Automation
  • Finance

Benefits & Perks

Health Insurance

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.