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. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
The Team
Our Sales Strategy and Planning team, part of the broader Sales Operations group reporting to the Chief Revenue Officer (CRO), is dedicated to empowering our Sales team to act and grow more efficiently. We serve as business partners to the Sales Organization, focusing on a variety of strategic initiatives. Your responsibilities will include analyzing inefficient business processes, piloting new sales roles, addressing obstacles in the sales process, and deriving meaningful insights from sales data.
We are seeking a Sales Operations Analyst to support the expanding Sales Strategy & Planning function, specifically partnering with the Pacific Rim sales leadership. The Pacific Rim region, which falls under the APAC umbrella, includes China, Hong Kong, Taiwan, and Korea. This area represents a growing market for MongoDB, driven by both direct sales and key partnerships with local cloud vendors.
Success in this role will depend on your ability to build strong relationships and establish credibility with the sales team while driving strategic initiatives that accelerate revenue growth. In addition to core sales strategy functions, this position will also provide support for the China partner business.
Responsibilities
This role encompasses dual responsibilities
- Sales Strategy & Planning:
- Play a critical role within the sales strategy org, focusing on sales processes, data analysis, and cross-functional collaboration.
- Analyze sales data, performance metrics, and trends to provide actionable insights for the sales and management teams.
- Develop and maintain sales dashboards and reports that track key performance indicators (KPIs) to support data-driven decision-making.
- Master company tools related to forecasting, planning, CRM (Salesforce), and dashboards, providing training to the sales team as needed.
- Monitor the end-to-end sales process, identifying bottlenecks and opportunities for streamlining to enhance operational efficiency.
- Collaborate with the sales team to gather feedback and insights for refining and optimizing sales workflows.
- Participate in quarterly and annual business planning for the Sales teams.
- Support for Partnership with China Cloud provider:
- Oversee the order booking process with cloud vendors, coordinating with internal functions (legal, finance, pricing) to ensure timely order processing.
- Suggest and implement process improvements to enhance team efficiency and collaboration, e.g. transitioning from manual reporting processes to automated solutions for scalability.
- Facilitate cross-functional communication on projects that involve multiple departments, including Sales, Marketing, Engineering, Finance, and Operations.
Requirements
- A Bachelor’s Degree with a quantitative focus (Economics, Finance, Mathematics, etc.)
- Fluent in Mandarin and English
- At least 2 years of experience in either Sales Strategy / Consulting / Sales Operations / Analytics
- 1+ years experience supporting sales leadership and working within a management team
- Strong SQL knowledge with an ability to write SQL queries to extract data needed for analysis
- Have strong ownership and high responsibility, logical thinking;
- A spreadsheet wizard with the ability to manipulate and analyze data;
- Experience with at least one major BI tool (Tableau, Google Data Studio, Looker);
- You are familiar with databases, and the differences between “relational” vs. “non relational”
Our Core Values
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Think Big, Go Far: We are big dreamers with a passion for creativity. We eagerly pursue new opportunities and markets through innovation and disruption.
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Make It Matter: We are relentless in our pursuit of meaningful impact. We think strategically and are clear on what we are and are not trying to do.
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Build Together: We achieve amazing things by connecting and leveraging the diversity of skills, experiences and backgrounds of our entire organization.
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Embrace the Power of Differences: We achieve amazing things by connecting and leveraging the diversity of skills, experiences and backgrounds of our entire organization.
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Be Intellectually Honest: We embrace reality. We apply high-quality thinking and rigor. We have courage in our convictions but work hard to ensure biases or personal beliefs do not get in the way of finding the best solution.
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Own What You Do: We take ownership and are accountable for everything that we do. We empower and we are empowered to make things happen, and balance independence with interdependence.
To 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. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
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 is an equal opportunities employer"
