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.
The Team:
The Customer Success Data Analyst will join a unique strategy and operations team driving Datadog’s next phase of growth. We are interdisciplinary thinkers leveraging diverse business backgrounds in management consulting, data analysis, finance and tech to accelerate Datadog’s global growth. We work directly with teams & senior leadership across Datadog to set corporate strategy, improve efficiency across the business, support data-driven decision-making, own complex operations and more.
The Opportunity:
As a Data Analyst for the Customer Success (CS) team, you will help ensure that the CS team has all the data they need to drive their day to day work. This will involve answering data questions from Customer Success Managers (CSMs) and leaders, exposing relevant and actionable data through performant dashboards, and running training sessions for non-technical users. You will work closely with the Customer Success and Strategy teams and will be part of a Datadog-wide community of Data Analysts.
You Will:
You Are:
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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