Datadog

Financial Systems Analyst

Datadog$80K — $118K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 1-5 years of experience in data analytics, financial systems, or finance operations.
  • Bachelor's degree in Data Analytics, Information Systems, Finance, Accounting, Business, or related field.
  • Proficient in SQL; experience using Python for analytics and automation.
  • Experience building dashboards and reports using Tableau or similar tools.
  • Familiarity with financial systems like NetSuite, Workday, or Zip.
  • Effective communication skills for both technical and non-technical audiences, with adaptability to learn new technologies.

Responsibilities

  • Collaborate with finance teams to gather requirements for reporting and analytics solutions.
  • Drive data and automation initiatives with cross-functional teams including IT and Analytics.
  • Create and maintain dashboards monitoring financial and operational performance.
  • Automate finance processes and data workflows using AI tools and visualization platforms.
  • Support financial system implementations, including data migration and reporting integration.
  • Provide analytical insights and maintain documentation for self-service reporting.

Benefits

  • Generous and competitive benefits package.
  • New hire stock equity (RSUs) and employee stock purchase plan.
  • Continuous career development and mentoring opportunities.
  • Best-in-class onboarding for new employees.
  • Inclusive workplace culture fostering connection and support.
Full Job Description
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.

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-$118,000 USD

#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-$118,000 USD

About Datadog

Datadog is a monitoring and analytics platform for cloud-scale infrastructure and applications. The company was founded in 2010 by Olivier Pomel and Alexis Lê-Quôc and is headquartered in New York City. Datadog's platform assists organizations in improving agility, increasing efficiency, and providing end-to-end visibility across dynamic or high-scale infrastructures. The company's SaaS-based data analytics platform integrates and automates infrastructure monitoring, application performance monitoring, and log management to provide unified, real-time observability of customers' entire technology stack. Datadog's customers include Airbnb, Twilio, and The Washington Post.
Learn more about Datadog
Size
3,200 employees
Market Cap
$22.5 billion
Industry
Net Income
-$24.5 million
Founded
2010
Revenue
$603.4 million
NASDAQ

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