Cloud FinOps Analyst, Cloud Efficiency and Analytics

About Datadog
We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale-trillions of data points per day-allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.

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.

The Team

Cloud Efficiency and Analytics is part of Datadog’s internal infrastructure team and is responsible for all things cloud cost related. This position is part of Data Projects - a niche group focused on high leverage research and initiatives within our infrastructure spend.

Projects will vary - whether it’s modeling Datadog’s infrastructure costs as we grows across clouds, devising a strategy to leverage the newest cloud discount instruments, or using observability and orchestration data to find the easiest places to reduce spend. We spend plenty of time thinking about Datadog today and Datadog five years from now. 

You will

• Work closely with the Cloud Efficiency and Analytics Organization, as well as company leaders, to drive high visibility projects and guide investments with quantitative analysis
• Learn about monitoring billions of containers per day, across multi clouds, with trillions of events per hour, and how that translates to cloud infrastructure costs
• Wield spreadsheets, spark jobs, and ML algorithms to get insight into data and trends for the business. 
• Build models and test them against reality 
• Iterating on solving hard problems, taking small steps to break down big questions and gain confidence in your answers
• Collaborate across the organization, meeting with senior engineering leadership and engineers on any team at Datadog.

You are

• Passionate about taking detailed oriented work to completion
• High ownership. Your work doesn’t stop at the end of a single jira ticket, you develo
• p domain expertise and contribute across organizational boundaries
• Have several years of Python and SQL experience.
• Ambiguity is comfortable - you like iterating and starting somewhere when it’s not clear where to begin tackling a large problem.
• You understand the major cloud providers' product offerings and how engineers use them, with experience in AWS, GCP, or Azure.
• Love thinking about how to optimize stuff, especially the bottom line.
• You have excellent communication skills and demonstrated experience in collaborating outside of your direct team.
• Have done a fair bit of data science, data visualization, and some statistics.
• Not strong in all areas; but able to immediately contribute in one of - financial analysis, cloud billing, cloud infrastructure analysis, or data engineering / data science.
• You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience

Benefits and Growth: 

• High income earning opportunities based on individual performance 
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Competitive global benefits
• Giving programs

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

This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government.