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

This role will be part of the Product Intelligence team and will be working closely with the product team. This role will work closely with Product, Engineering and the Data Engineering team to help ensure the success of the product. The ideal candidate will have experience partnering with Product to define success metrics and define data requirements to ensure we are set up for success when the product or feature launches. The ideal candidate will have experience measuring product impact using causal inference and A/B testing. The individual will play a key role in providing insights around product usage beyond just the “What?” but to answer the “Why?” behind user behavior. Our team values diversity, collaboration, creativity and most importantly - having fun! Come join us!

What You'll Be Doing

• Size potential impact of new products or features to impact the Product roadmap.
• Partner with Product to define success metrics that quantify the performance of the product and its impact on the business.
• Analyze usage and behavioral data and build data models that enable insights and power dashboards.
• Apply statistical methods, such as causal inference or A/B testing, to quantify the business impact of new features.
• Partner with cross-functional teams to scope, prioritize, lead and drive data science initiatives to completion.
• Identify new opportunities and influence strategic decision-making across the organization.
• Partner closely with Product and Engineering to drive product direction and decision-making.
• Mentor and coach junior team members.

What You'll Have

• Degree in a quantitative field such as analytics, statistics, economics, computer science, or applied math
• 7+ years with advanced degree + experience working in an analytical role
• Strong communication skills, both written and verbal; able to translate ambiguous, unstructured business problems into actionable analyses
• Advanced SQL ability
• Proficient with Python and statistical libraries such as scikit-learn, pandas, etc
• Knowledge in applied statistics (e.g. hypothesis testing, regressions, predictive modelings) or experimentation (e.g. A/B testing) in an industry setting
• Ability to translate complex data into actionable insights for a non-technical audience
• Strategic thinker who can tie the micro and macro view together
• Experience leading definition of product and business success metrics and collaborating with working teams to ensure correct data tracking instrumentation for measurement
• Previous experience working with a collaboration product is a bonus