Data Analyst, GTM Analytics

Role Overview

You will create reliable go-to-market (GTM) and product analytics that inform key revenue, retention, and expansion decisions at Zoom. This role involves collaborating extensively with Sales, Customer Success, Finance, and Product teams to transform intricate business queries into understandable, actionable insights facilitated by advanced cloud analytics technologies. The insights you provide will enhance customer journeys and achieve measurable business improvements throughout Zoom's GTM strategies.

Team Vision

Our team is dedicated to developing dependable analytics that empower decision-making across the company. By working closely with stakeholders, we deliver scalable and dependable data solutions that support precise insights, driving organizational success.

Key Responsibilities

• Partner with Zoom's Sales, Customer Success, Finance, and Product divisions to develop reliable analytics covering the entire Lead-to-Quote-to-Cash process.
• Create scalable dashboards and analytical models, and define actionable metrics that enhance business transparency and decision-making efficiency.
• Analyze data related to customers, revenue, and products to discern trends, risks, and growth opportunities across pre-sales, sales, renewals, support, and customer success activities.
• Translate complex data insights into engaging narratives that support Executive Insights, Quarterly and Monthly Business Reviews, and cross-functional decisions.
• Collaborate with data engineering teams to ensure data accuracy, address inconsistencies, and enhance report trustworthiness.
• Advance analytics adoption by establishing success criteria, measuring return on investment, and promoting self-service analytical reporting.

Candidate Profile

• At least 5 years of professional experience in business analytics, including a minimum of 2 years specializing in GTM, Revenue Operations, or Product analytics.
• Proficient in advanced SQL techniques to interrogate large datasets on cloud-based platforms.
• Experience building analytical models, dashboards, and visual reports using contemporary business intelligence and visualization software.
• Skilled with Python or R for the preparation, analysis, and interpretation of data sets.
• Knowledgeable about SaaS and consumption-based business metrics, customer lifecycle processes, forecasting, and performance assessment.
• Ability to effectively collaborate across functions to produce trusted data analytics solutions.
• Capable of conveying technical results clearly to both technical and non-technical stakeholders.
• Experience utilizing AI-assisted analytics tools or productivity software to optimize data workflows.

Compensation and Benefits

The anticipated salary range spans from $98,900 to $228,700. Beyond base pay, Zoom’s total compensation philosophy incorporates base salary, bonuses, and equity components. Initial salary offers consider qualifications and experience. Compensation may vary depending on geographic location.

Additional Information

The application window extends until August 4, 2026, providing ample time to apply. Our work model follows a structured hybrid approach tailored according to role requirements, with this position supporting remote work.

Zoom fosters an award-winning culture focused on employee well-being, providing a diverse benefits program designed to support physical, mental, emotional, and financial health as well as work-life balance and community engagement.

Company Background

Zoom is dedicated to enhancing connectivity and collaboration through cutting-edge communication platforms like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. The company promotes rapid problem-solving and innovation in a collaborative environment that encourages career advancement.

Diversity and Accommodation

Zoom is committed to equitable hiring practices, evaluating candidates based on skills and potential without bias. Support and accommodations are available throughout the hiring process for candidates with medical disabilities, ensuring an inclusive experience.

Interview processes use tools designed to ensure consistency and respect candidate privacy.