Data Analyst

Job description

## About Glow Glow is on a mission to transform how enterprises proactively protect the modern endpoint with an agentic-first approach. Our platform gives security teams the visibility, context, and autonomous remediation they've never had before — across every endpoint, application, and AI tool in the environment. We move fast, we build things that matter, and we believe security should be a force multiplier for the business, not a bottleneck. Let's Glow. ## About The Role We're looking for an experienced **Data Analyst** to join our growing Data team and help shape one of the core functions at Glow. This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience. You'll wear multiple hats—from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside. If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you. ## What You'll Do - Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value. - Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes. - Design and evolve Glow's data models, creating a unified language across data coming from multiple integrations and systems. - Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches. - Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build. - Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one. - Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines. - Help define the foundations of Glow's data function by evaluating tools, methodologies, and best practices that will scale with the company. - Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior. - Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows. ## What You'll Bring - 3+ years of experience as a Data Analyst, Cyber Analyst, Network Analyst, Analytics Engineer, Solutions Analyst, or in a similar data-focused role. - Strong SQL skills and working knowledge of Python. - Experience working with large, complex datasets from multiple sources. - Experience with data modeling, schema design, and structuring data for efficient analysis. - Ability to independently own projects from discovery through delivery, balancing long-term improvements with short-term priorities. - Comfortable working across Engineering, Product, Data Science, and customer-facing teams. - Strong analytical thinking and the ability to translate data into clear recommendations and business decisions. - Excellent communication skills and confidence presenting findings to both technical and non-technical audiences. - A customer-first mindset with the ability to prioritize work around customer impact and deadlines. - **The Glow Mindset:** You take ownership, act with accountability, collaborate openly, and focus on delivering meaningful impact. You thrive in fast-moving environments, embrace ambiguity, and enjoy solving hard problems together. ## Even Better If You Also Bring - Experience building or improving data platforms, analytics infrastructure, or data operations processes. - Experience working with APIs, integration platforms, or SaaS data sources. - Previous experience leading projects or mentoring others. - Familiarity with AI/LLM products and an interest in applying AI to data analysis and customer workflows. - Experience in cybersecurity, enterprise SaaS, or highly technical products. ***At Glow, we believe our greatest strength is our people.** We're committed to building an inclusive workplace where every team member feels welcomed, respected, and empowered to do their best work. We know that diverse backgrounds, experiences, and perspectives make us stronger as a company and better partners to our customers.* *Glow is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an environment free from discrimination and harassment. We make all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law.*