Data Analyst, GTM Analytics
About The Position
Develop trusted GTM and Product analytics that guide revenue, retention, and growth decisions at Zoom. Collaborate with Sales, Customer Success, Finance, and Product teams to translate complex business questions into clear, actionable insights using modern cloud analytics tools. Deliver insights that improve customer experiences and drive measurable business outcomes across Zoom's go-to-market motion. We build trusted analytics that empower business decision-making. Our team partners closely with stakeholders to deliver scalable, reliable data solutions. We enable better decisions by providing accurate insights that drive business success.
Requirements
- Demonstrate 5+ years of experience delivering business analytics, with at least 2 years in a GTM, Revenue Operations, or Product analytics capacity.
- Apply advanced SQL skills to analyze large datasets in cloud-based data platforms.
- Build analytical models, dashboards and reports using modern business intelligence and data visualization tools.
- Use Python or R to prepare, analyze, and interpret data.
- Apply knowledge of SaaS and Consumption based business metrics, customer lifecycle analysis, forecasting, and performance measurement.
- Collaborate effectively with cross-functional partners to deliver trusted analytics solutions.
- Communicate technical findings clearly to technical and non-technical audiences.
- Leverage AI-assisted analytics or productivity tools to improve analytical workflows.
Responsibilities
- Developing trusted analytics by partnering with Zoom's Sales, Customer Success, Finance, and Product stakeholders across the full Lead-to-Quote-to-Cash journey.
- Building scalable dashboards, analytical models, define actions that improve business visibility and decision-making.
- Analyzing customer, revenue, and product data to identify trends, risks, and opportunities for growth for pre-sales, sales cycles, renewals, support and customer success motions.
- Translating analytical findings into compelling data stories that drive Executive Insights, Quarter / Monthly Business Reviews, and Cross-Functional decision-making.
- Partnering with data engineering teams to validate data quality, resolve issues, and improve trusted reporting.
- Supporting analytics adoption by defining success metrics, measuring ROI, and enabling self-service reporting.
Benefits
- Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
- Location based compensation structure
- Award-winning workplace culture
- Commitment to delivering happiness
- Benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.
- Opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
- Fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential.
- Accommodation during the hiring process
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
