Senior GTM Data Analyst

Reposted Yesterday
New York City, NY, USA
In-Office
125K-172K Annually
Mid level
Cloud • Security • Cybersecurity
At Wiz we’re helping customers prevent attacks aimed at stealing data from cloud infrastructure.
The Role
The Senior GTM Data Analyst partners with leadership to deliver analytical insights, build dashboards, improve data models, and enhance data-driven strategies for cloud security business operations.
Summary Generated by Built In

Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google’s Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation.

Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun!

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.

Skills Required

  • 3-4+ years of experience in analytics, data operations, consulting, or business intelligence
  • Advanced SQL skills and experience with complex datasets and reporting systems
  • Clear communication and business judgment for translating complex analyses
  • Interest in learning new tools and experimenting with AI-driven workflows
  • Familiarity with VSCode, Github, BigQuery, dbt, Python, Looker or similar tools

Wiz Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Wiz and has not been reviewed or approved by Wiz.

  • Fair & Transparent Compensation Pay bands for remote roles are described as mid–six figures, with additional compensation such as bonuses, commissions, and profit sharing also referenced. Compensation for senior and revenue-linked roles is portrayed as substantial relative to typical tech benchmarks.
  • Healthcare Strength Health coverage is described as robust, spanning medical, dental, vision, life, disability, mental health benefits, and access to flexible spending accounts. The breadth of coverage indicates a comprehensive baseline benefits offering.
  • Leave & Time Off Breadth Time-off policies are framed as flexible, including an unlimited/flexible PTO approach alongside paid holidays and sick time. Flexibility is reinforced by remote programs and a home-office stipend as part of the broader rewards package.

Wiz Insights

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The Company
HQ: New York, NY
700 Employees
Year Founded: 2020

What We Do

Every day there’s another cyber-attack on the news. Hackers stole twenty million credit card numbers from a retailer, or they shut down an oil pipeline, or crippled a hospital. These attacks are more than just disruptive; they’re big business for organized crime and rogue states. Wiz is here to prevent them from happening where companies and governments build applications today -- in the cloud. From Barclays to Home Depot, Wiz helps the biggest organizations in the world protect their Amazon, Microsoft, and Google cloud environments. We have only been selling the product for six months, and so far, 10% of the Fortune 500 already use Wiz. But this is just the beginning. Come join the fastest growing enterprise software company in history in one of the fastest growing industries -- the cloud -- and help us make cloud a safe place where creativity and innovative ideas can flourish.

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