Jobs Companies Datadog Senior Financial Systems Analyst

À propos de ce poste Senior Financial Systems Analyst chez Datadog

Datadog · Sur site · New York, New York, USA

As a Finance Systems Analyst, you will play a key role in modernizing Datadog's finance organization through process automation, data analytics, and financial systems optimization. Working within the Finance Systems team, you will partner closely with Accounting, FP&A, Tax, and other finance stakeholders to improve the efficiency, accuracy, and scalability of financial processes and reporting. You will leverage technologies such as AI tools, SQL, Python, Tableau, and financial systems to analyze data, automate workflows, and deliver actionable insights. This role offers an opportunity to help shape how emerging technologies, including AI, transform finance operations while contributing to strategic decision-making across the business.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

 

What You'll Do:

  • 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.

Who You Are:

  • 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.

Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.

 

Benefits and Growth:

  • 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

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:
$80,000$140,000 USD

About Datadog: 

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.


Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. 

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. 

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

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À propos de Datadog

We tackle some of the hardest technical problems while delivering a product that "just works" for our customers. And we are backed by some of the best VCs in NYC and the world.

Do you want to make a difference? Are you exceptional at your job, and intrinsically motivated by it? Do you eat hard problems for breakfast and find them beautifully simple solutions by lunchtime? Do you ever wish you were there in the early days of these startups everyone is talking about?

If so, we want to hear from you.

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