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—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.
The team:
We are building a first-class Data & Analytics department enabling the entire company to easily discover, explore, and report on internal data in order to make data-driven decisions.
Our data covers all parts of the business: product analytics, billing, engineering operations, marketing, sales, recruiting...
Our department is composed of Data Engineers and Data Analysts who use cutting-edge data pipeline, and data exploration & analysis tools powering the self-serve analytics ecosystem we are building.
The opportunity:
As a Data Analyst within the Internal Analytics department, you will help ensure all teams at Datadog have easily find, discover, and explore analytics data through our tools, and extract insights from it. You will have a chance to interact with all other departments including other Engineering teams, Product Managers, Designers, Marketing, Finance, Customer Success, and Executives.
You will:
Requirements:
Bonus points:
Equal Opportunity at Datadog:
Datadog is an Affirmative Action and Equal Opportunity Employer and 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 more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Your Privacy:
Datadog (NYSE: DDOG) is a prominent global SaaS provider that uniquely balances growth and profitability. It offers cloud-scale monitoring and security by combining metrics, traces, and logs within one platform.
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