Bring teams together, reimagine workspaces, engage new audiences, and delight your customers –– all on the Zoom platform you know and love. 💙

Zoomies help people stay connected so they can get more done together. We set out on a mission to make video communications frictionless and secure by building the world’s best video product for the enterprise, but we didn’t stop there. With products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinar, we bring innovation to a wide variety of customers, from the conference room to the classroom, from doctor’s offices to financial institutions to government agencies, from global brands to small businesses.

We do what we do because of our core value of Care: care for our community, our customers, our company, our teammates, and ourselves. Our global employees help our customers meet happier, communicate better, and create meaningful connections the world over. Zoomies are problem-solvers and self-starters, working hard to get results and moving quickly to design solutions with our customers and users in mind. Here, you’ll work across teams to dig deep into impactful projects that are changing the way people communicate, and find room to grow with opportunities to stretch your skills and advance your career in a diverse, inclusive environment

Data volumes at Zoom are growing exponentially. Zoom's business relies heavily on these rich datasets to gain deep insights and to make data driven business decisions. These decisions drive sales growth, improve product experience, customer happiness, enable innovation and operational excellence to make Zoom the best in the frictionless collaboration area. To achieve this, we also need to ensure that we’re meeting the consent, privacy, and regulatory needs of hundreds of millions of users worldwide. If you are passionate about data and leading delivery of complex, highly cross-functional data product related initiatives, and looking to join a fun and fast-moving team, we’d love to meet you!

What You'll Do

• Collaborate with Data Product Managers to understand GTM business needs, groom & prioritize requirements, deliver data products and measure outcome of the same
• Design, assemble, deliver and maintain data models that can be used to build dashboards for reporting and deriving GTM related insights
• Define KPIs and success metrics for accurate and consistent reporting and actionable insights working closely with Data Product Managers and stakeholders from Sales, Services, Channels, Customer Support and Sentiment and other business functions
• Effectively articulate data insights and actions to all audiences including the C-suite
• Think strategically and analytically about Zoom’s GTM business priorities to drive sales growth, improve deal velocity, and improve ease of doing business for sellers.
• Coach and mentor other data analysts in the team

What You Will Have

• Minimum of 8+ (OR 6+ years with a Masters) years of professional experience in a data-driven, GTM analytical role ideally for a SaaS company
• Demonstrated proficiency in SQL, PLSQL, scripting and cloud data warehouse / data lake tech stack
• Experience building intuitive dashboards using BI tools, preferably Tableau
• Deep understanding of Sales processes and data (sales and financials)
• Hands-on experience in building data solutions using data from SFDC, GainSight and other relevant platforms
• Experience integrating with customer support platforms such as ServiceNow / ZenDesk
• Experience in quantitative analysis
• Strong data storytelling skills, including the ability to distill technical insights into a clear and compelling narrative
• Bachelor’s degree or higher in a quantitative field such as analytics, engineering, mathematics, computer science or related discipline
• Have strong business acumen and a deep sense of curiosity with an eye for detail, especially when dealing with customer data
• Experience with Agile methodologies and using tools such as JIRA. Creating technical design documents. Familiarity with data privacy and compliance
• Familiarity with statistical modeling, in particular classification models, and statistical programing languages like Python or R. Experience with dbt is a bonus