Senior GTM Data Analyst

Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re the leading player in a massive and growing market, but it’s still early enough for you to make a significant impact. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster. SUMMARY Our Go-To-Market (GTM) Analytics team plays a critical role in enabling data-driven decision-making across Wiz. As Wiz continues to scale as part of Google Cloud, the need for actionable insights, reliable data foundations, and data-driven strategies has never been greater. We are seeking a highly motivated, AI-forward individual to join the GTM Analytics team. Reporting to the Senior Manager, GTM Analytics, the Senior GTM Data Analyst will act as a dedicated analytics business partner - owning core models, dashboards, ad hoc analyses, and insights that help drive execution and strategic priorities forward. In this role, you’ll work closely with senior and executive stakeholders to surface the data they need to make smarter, faster, and more strategic decisions. The strongest candidates will have strong analytical instincts, curiosity, judgment, and the initiative to learn quickly, experiment with new tools, and create leverage beyond the boundaries of a traditional analytics role. LOCATION: We are focusing on candidates who are NYC based WHAT YOU’LL DO Serve as a primary analytics partner to GTM leadership, helping shape business questions, define requirements, and deliver insights that influence strategic and operational decisions. Build, maintain, and improve dashboards, self-service reporting, and analytical tools that give stakeholders fast, accurate visibility into performance, trends, and opportunities. Own and improve core data models and pipelines, using tools such as dbt to develop well-structured, reliable, and scalable datasets that power GTM analytics. Partner with IT, BI, Data, Operations, Finance, and Business teams to strengthen data infrastructure, improve data quality, and align on standardized metrics, definitions, and methodologies. Conduct advanced analytical work, including exploratory deep dives, statistical analysis, regressions, segmentation, funnel analysis, and other methods that surface actionable recommendations. Use AI and modern analytical tools to increase the speed, quality, and scope of your work, from analysis and documentation to prototyping, automation, and data exploration. Represent Analytics in cross-functional initiatives, proactively identifying opportunities to improve workflows, automate repetitive work, and build scalable solutions that create leverage for the broader team. WHAT YOU’LL BRING 3–4+ years of experience in analytics, data operations, consulting, business intelligence, revenue operations, or a similar data-focused role. Strong analytical fundamentals, including advanced SQL skills and experience working with complex datasets, data models, dashboards, and reporting systems. Clear communication and business judgment, with the ability to translate ambiguous business problems and complex analyses into actionable recommendations for senior stakeholders. Curiosity and technical adaptability, including interest in learning new tools, experimenting with AI-enabled workflows, and expanding into areas like Python or modern analytical modeling. Familiarity with VSCode, Github, BigQuery, dbt, Python, Looker, or similar modern data tools is a plus, but the ability to quickly learn and apply new technologies is more important than any specific tool WHO THRIVES IN THIS ROLE You may thrive in this role if you see analytics as more than reporting. You are energized by understanding how the business works, identifying the highest-leverage problems to solve, and using whatever tools are available (including AI) to move faster, think deeper, and produce better work. You are a strong analyst at your core, but you are also curious enough to stretch into adjacent areas such as data engineering, automation, business strategy, workflow design, and tool-building. You are excited by the idea that the best analysts increasingly operate like “one-person teams,” combining analytical rigor, technical fluency, business judgment, and creativity to create outsized impact. We are looking for someone who wants to grow with the team, challenge how things are done, and help move GTM Analytics forward technologically and operationally. If you don’t meet every single qualification but believe you’d be a strong fit for this role, we encourage you to apply. We value potential, curiosity, and a growth mindset just as much as experience. Compensation + Benefits Compensation for this full-time position includes base salary + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . The US base salary range for this full-time position is listed below. US Base Pay Range $125,000 — $172,000 USD Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship . Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.

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