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.
Requirements
- Have 1-5 years of experience in data analytics, financial systems, finance operations, or a related field.
- Hold a Bachelor's degree in Data Analytics, Information Systems, Finance, Accounting, Business, or a related discipline.
- 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.
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
Work Arrangement
Hybrid
Additional Information
- Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.