Order Operations Analyst

We are looking for an Order Operations Analyst to join our evolving Sales Operations team located in our Dublin office. The ideal candidate thrives in high-growth, collaborative environments and is eager to dive into the Order Operations function of the Sales process. We need a detail-oriented, process-minded individual who has experience in order management and working cross-functionally to support the needs of a fast-growing sales team while carrying a high volume workload.

Responsibilities include:

• Performs a review of opportunities submitted by sales teams to ensure all required documentation is provided and the order is in compliance with company procedures and guidelines

• Coordinates the resolution of Order Form discrepancies or questions with various internal departments

• Facilitates signature requests of Legal Agreements, Order Forms, and Vendor Forms

• Acts as a subject matter expert for External Marketplace orders

• Provides daily ad hoc training and sales support for opportunity close process

• Identifies and recommends process improvements to optimize daily Order Operations activities, including Salesforce-related processes.

• Participates in testing of system projects prior to implementation

• Expands upon Order Operations internal documentation along with the related field facing documentation of current processes

• Completes all owned tasks by the scheduled month end close deadlines and escalates issues when needed

• Performs various tasks that impact Customer billing and access to Datadog solutions and services

Requirements

• 1-2 years experience in Order Management or equivalent experience

• Fluent in English

• Experiencing navigating Salesforce is preferred

• Familiarity of AWS, GCP, and Azure Marketplace experience is preferred, not required

• Strong time management, organization, and detail orientation skills

• Familiarity with SaaS selling motions is preferred but not required.

• Ability to multi-task and switch gears in high volume and fast paced environment

• Eagerness to learn and analyze data to identify efficiency improvements is a plus.

• Excellent verbal and written communication skills across multiple departments

• Bachelor's Degree

Benefits and Growth: (Describe opportunities offered here)

• Generous and competitive benefits package

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)

• Continuous career development opportunities

• Product training to develop understanding of our product and space

• Best in breed onboarding

• Internal mentor and buddy program cross-departmentally

• 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.

About Datadog:

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. 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.

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