Sales Revenue Analyst - NYC

New York, New York, USA·Posted today

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Datadog is the monitoring and security platform for cloud applications. Our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term.  Datadog’s Revenue Operations  & Finance team is in a phase of dynamic growth, committed to relentless enhancement and strategic problem-solving to drive business success. The Sales Revenue team at Datadog is instrumental in fueling our rapid growth trajectory. Collaborating seamlessly across various departments, we offer comprehensive commercial, operational, and analytical support to drive Datadog's business and Sales organization forward with unparalleled efficiency and agility. In this pivotal role, you will thrive within  an inclusive environment, collaborating closely with a diverse array of talented individuals who share a deep passion for innovation.Your primary focus will involve tackling intricate business challenges in tandem with Sales Leadership, Finance, Growth, GTM, Operations, and other essential stakeholders, fostering seamless synergy and driving impactful outcomes.  We are seeking  a highly skilled Sales Revenue Analyst to join our team in Boston, MA or New York, NY. Your role will involve providing critical support and vision to our revenue team by overseeing the meticulous calculation of global sales team commissions and accurate recognition of new business revenue as we strategically expand into new markets and drive revenue growth.  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. What You’ll Do: <ul> <li>Spearhead the strategic ownership, iterative refinement, and optimization of monthly commission strategies across diverse verticals, ensuring alignment with organizational objectives and driving performance excellence from our Go-to-Market motion </li> <li>Lead the conceptualization and execution of innovative, cross-functional solutions aimed at scaling Sales Revenue operations to new heights of efficiency and effectiveness</li> <li>Collaborate on the customization of analytical frameworks to evaluate the business impact of existing incentive-based compensation plans, delivering actionable insights to enhance refinement and improvement efforts </li> <li>Conduct comprehensive analysis of the Deal Close process to ensure the efficacy and soundness of new commercial sales. Meticulously review deal structures, financial terms, and product pricing with precision</li> <li>Establish and maintain a robust reporting infrastructure for core sales processes, encompassing quota allocation, compensation plans, coverage and territory management, and real-time performance monitoring to drive informed decision-making.</li> <li>Partner with Strategy and Growth teams in the development of scalable sales compensation structures and initiatives, fostering alignment with board-level growth objectives</li> <li>Grow your technical and functional expertise in Salesforce and auxiliary SaaS systems including: Tableau, CaptivateIQ, Jira, Clari, Confluence</li> <li>Forge close partnerships with Datadog’s senior leadership to evaluate, design, and operationalize transformative sales strategy programs, fostering organizational agility and competitive advantage</li> <li>Contribute to strategic planning and process improvement initiatives aimed at elevating the quality and architecture of product usage, revenue, and CRM dashboards, thereby enhancing operational rigor and unlocking advanced reporting capabilities</li> </ul> Who You Are: <ul> <li>2-4 years of experience in revenue, sales operations, FP&A, business analyst or consulting roles demonstrating a solid foundation in finance and business principles</li> <li>Advanced Excel skills to manage and analyze large data sets, enabling effective management and analysis of large datasets with precision and accuracy</li> <li>Exceptional written and verbal communication skills, coupled with the ability to swiftly establish trust, credibility, and influence across diverse stakeholders</li> <li>Familiarity with Software-as-a-Service (SaaS) business models, showcasing an understanding of recurring revenue dynamics and subscription-based businesses</li> <li>Demonstrated ability to think strategically about complex issues, showcasing adept problem-solving skills and analytical prowess</li> <li>Excellent interpersonal skills, with a track record of effectively presenting to teams of diverse functions and hierarchical levels, fostering collaboration and understanding </li> <li>Proven capability in project ownership and delivery, collaborating closely with cross-functional teams to manage stakeholders, coordinate activities, and prioritize tasks, ensuring successful project outcomes</li> </ul> Bonus Points: <ul> <li>Experience working with compensation & business automation tools </li> <li>Prior experience in a high-growth SaaS company and/or multi-national public company,demonstrating adaptability and ability to thrive in dynamic environments</li> <li>Familiarity with SaaS company economics, deal structuring, and revenue models, indicating a comprehensive understanding of subscription-based business models. </li> <li>Experience working in Mac OS</li> <li>Proficiency in  Salesforce CRM, Google Sheets, and Jira</li> <li>Familiarity with Tableau, Metabase, and (or) other business intelligence systems</li> <li>Experience with advanced analytics to deliver forecasts and/or intuitive models</li> <li>Previous experience in client-facing role or working with C-suite executives</li> </ul> Datadog values people from all walks of life. We understand 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 skills, we encourage you to apply. Benefits & Growth: <ul class="ul1"> <li class="li1">Generous and competitive benefits package</li> <li class="li1">New hire stock equity (RSUs) and employee stock purchase plan</li> <li class="li1">Continuous career development and pathing opportunities</li> <li class="li1">Employee-focused best in class onboarding</li> <li class="li1">Internal mentor and cross-departmental buddy program</li> <li class="li1">Friendly and inclusive workplace culture</li> </ul> Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid<div class="content-pay-transparency"><div class="pay-input"><div class="description">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.</div><div class="title">The reasonably estimated yearly salary for this role at Datadog is:</div><div class="pay-range">$79,000—$105,000 USD</div></div></div><div class="content-conclusion"><hr> About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on <a href="https://www.instagram.com/datadoghq/?hl=en" target="_blank">Instagram</a>, <a href="https://www.linkedin.com/company/datadog" target="_blank">LinkedIn,</a> and <a href="https://learn.datadoghq.com/" target="_blank">Datadog Learning Center. </a> <hr> Equal Opportunity at Datadog: Datadog is proud to offer <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" target="_blank">equal employment opportunity</a> 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 <a href="https://www.datadoghq.com/legal/candidate-legal-notices/" target="_blank">Candidate Legal Notices</a> for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete <a href="https://docs.google.com/forms/d/e/1FAIpQLSeoJeduEZ2NdZF_65uZmWUrCM-zee7yADXX1s6Xr9zAGq8iKA/viewform" target="_blank">this form</a>. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s <a class="c-link" href="https://www.datadoghq.com/legal/applicant-candidate-privacy/" target="_blank" data-stringify-link="https://www.datadoghq.com/legal/applicant-candidate-privacy/" data-sk="tooltip_parent">Applicant and Candidate Privacy Notice</a>. For information on our AI policy, please visit <a href="https://www.datadoghq.com/legal/interviewing-at-datadog-ai-guidelines/" target="_blank">Interviewing at Datadog AI Guidelines</a>.</div>

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