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MongoDB

Senior Sales Operations Analyst Chicago

MongoDB, Chicago, Illinois, United States, 60290


MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers.About the job

The database market is massive (IDC estimates it to be $121B+ by 2025!) and MongoDB is at the head of its disruption. At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.Our Strategy and Planning team, part of our broader Sales Operations team, strives to help our Sales organization scale and grow faster. This function will act as a key business partner to the Customer Success (CS) leadership team. You will have an opportunity to embed yourself as the “COO” of that business, and your responsibilities will range across a variety of strategic initiatives including piloting and scaling up new projects, analyzing data to come up with meaningful business insights, and optimizing processes.We are looking for a senior analyst to help us build out this global function over time and drive forward initiatives that will help us unlock sales revenue. The ideal candidate has a strong interest in data analysis to tell stories and thrives in shaping narratives that are conducive to helping our teams grow.The Opportunity

As a Senior Analyst of CS Strategy and Planning, you will:Help drive the analytical rhythm of our business including monthly and quarterly business reviews, forecasting, org deep divesPartner with CS leadership to drive market + segment specific analyses to uncover insights and emerging trendsEfficiently pull data and derive insights based on a business problem posedBecome an expert in understanding CS KPIs and implications on performance tracking, compensation and forecastingParticipate in quarterly and annual business planning for the CS team including headcount planning, territory assignments, and segmentationCollaborate cross-functionally with various business units to drive productivity and operational efficiencyThe Ideal Candidate

Bachelor’s Degree with a quantitative focus (Economics, Finance, Computer Science, Mathematics, etc.)3+ years of work experience in either Sales Strategy or Sales Operations; experience in Customer Success Ops a big plusThrives in working in a fast-paced working environmentEffective communicator who can break down convoluted technical concepts into simple business vernacularFamiliarity with consumption-based software business modelsA skilled data analyst with advanced Excel capabilities with the ability to manipulate and analyze dataExperience with at least one major business intelligence tool (Tableau, Google Data Studio, Looker)You can navigate your way around Salesforce with relative easeTo drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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