Product Analyst

Tel Aviv-Yafo, Tel Aviv District, Israel March 7, 2026

At Apono we empower organizations to run in the cloud by aligning operations and security around access management.
Our platform provides companies with Just-In-Time and Just Enough access across their hybrid environments reducing the access risk while improving productivity. Apono has offices in New York and Tel Aviv and supports dozens of customers across the US and the world including large Fortune 500 companies, and was honored in Gartner's Magic Quadrant for Privileged Access Management.

What you'll be doing:

Collect, analyze, and interpret large volumes of data generated by the product (both stateful and product events) to identify trends, patterns, and actionable insights.
Provide data-driven recommendations and insights to support strategic decision-making processes and product roadmap prioritization.
Collaborate closely with product managers, engineers, and business stakeholders to understand customer needs:

Identify opportunities for feature improvements and new feature development based on data analysis.
Help understand customer value and build ROI and champion-enablement reports.

Effectively communicate findings, insights, and recommendations to stakeholders through clear and concise reports, presentations, and visualizations.
Conduct market research in the security and compliance realms and be a Product evangelist and close partner for Sales, Marketing and Customer Success stakeholders.

Requirements:

2+ years of proven experience in the field of data, preferably in a product-focused environment.
Skilled in SQL programming - Must.
Experience with modern data tooling such as Snowflake and dbt for data transformation and analytics workflows.
Excellent problem-solving skills, with the ability to analyze complex data and derive actionable insights in the ever-evolving AI landscape.
Strong communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders and build strong relationships across teams.
Experience working in B2B Security companies - Advantage
Bachelor's degree in a quantitative field such as Data Science, Statistics, Computer Science, Industrial Engineering or other technical disciplines - Advantage.
Familiar with Python for data manipulation and analysis, using libraries like pandas, NumPy, and scikit-learn - Advantage.