This role seeks a Senior Product Analyst to join the product department's data group, contributing to our rapid growth. The team's core mission is to elevate business decisions and enhance product value through in-depth data analysis and collaboration with Product, Engineering, and Data Science teams. The analyst will own multiple data projects, drive platform health monitoring, and deliver actionable insights across the organization.

Responsibilities

Extract, Analyze, and Report: Initiate analysis on product data using Snowflake and Python to generate reports for feature tracking, experimentation, and product/platform health monitoring.
Model Integration Support: Collaborate with the Data Science team to develop and review training labels, analyze model results for feature biases, and contribute to model insights and accuracy KPIs (e.g., recall and precision).
Production Enablement: Generate content and configurations from analysis that can be directly loaded into production engines to improve delivered customer value.
Automation and Development: Develop automated solutions for collecting and extracting data from external sources and contribute to the team's Python Library, Docker image, and EKS platform maintenance.

Minimum Qualifications

5+ years of professional work experience in product analytics.
3+ years of proven, production-level expertise in Python design and coding.
Advanced proficiency in SQL and demonstrable strong statistical foundations.
Proven record in building data sets for fine tuning ML models and establishing methods for QAing and probing models.

Preferred Qualifications

Background in data analysis specifically within a cybersecurity context and company.
Experience with data governance strategies, data modeling, events, and funnel tracking methodology.
Experience working with BI tools (e.g., Looker, Tableau, Redash) and product analytics tools (e.g., Mixpanel, Amplitude, Pendo).
Educational foundation with a BA/B.Sc. degree in a statistical or analytical field (e.g., Computer Science, Statistics, Industrial Engineering).
Basic technical knowledge in HTML, CSS, or JavaScript.
Knowledge of cyber security compliance frameworks (e.g., GDPR, PCI-DSS, NIST CSF).

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About Axonius:

Axonius transforms cyber asset intelligence into actionability. With the Axonius Asset Cloud, customers preemptively tackle high-risk and hard-to-spot threat exposures, misconfigurations, and overspending. The integrated platform brings together data from every system in an organization’s IT infrastructure to optimize mission-critical risk, performance, and cost measures via actionable intelligence.

Covering cyber assets, software, SaaS applications, identities, vulnerabilities, infrastructure, and more, Axonius is the one place to go for Security, IT, and GRC teams to continuously drive actionability across the organization. Cited as one of the fastest-growing cybersecurity startups, with accolades from CNBC, Forbes, and Fortune, Axonius supports millions of assets for leading customers across industries and around the world.

Axonius makes it a priority to invest in our people with competitive compensation and benefits, growth opportunities, community-building, and so much more. Learn more about benefits at Axonius.

At Axonius we support a diverse and inclusive workplace and believe in equal employment opportunity. We welcome people of different backgrounds, experiences, abilities and perspectives, regardless of race, color, ancestry, religion, age, sex, gender identity, national origin, sexual orientation, citizenship, marital status, disability, or Veteran status.

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Senior Product Analyst

AI overview

Responsibilities

Minimum Qualifications

Preferred Qualifications