Senior Product Analyst at Unframe

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

01 Aug, 26

Salary

0.0

Posted On

03 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Analytics, Data Analytics, SQL, BI Tools, KPI Definition, Tracking Frameworks, A/B Testing, Experimentation, Data Governance, User Behavior Analysis, Feature Adoption, Retention Analysis, Engagement Analysis, Forecasting, Strategic Planning, Cross-functional Collaboration

Industry

technology;Information and Internet

Description

About Unframe Unframe is reinventing enterprise software for the AI era. We enable large organizations to deploy secure, production-grade AI solutions across dozens of use cases, quickly and at scale. Our platform allows enterprises to become AI-native without the heavy lift of traditional software development. We work on-site at our TLV offices. We operate at high velocity. Our solutions continuously evolve. We build for enterprise scale from day one. About the Role As Unframe’s first Product Analyst, you will define how product analytics works across the company. You will build the data foundations, measurement frameworks, and analytical processes that allow us to make informed decisions across multiple evolving AI solutions. This role combines strategic ownership with hands-on execution. You will design scalable analytics infrastructure while delivering actionable insights that influence product direction, customer outcomes, and company growth. Your work will directly impact how we prioritize features, measure value, and scale intelligently across dozens of enterprise deployments. Responsibilities Define and implement Unframe’s product analytics strategy across multiple products and solutions. Establish core KPIs and success metrics aligned with product and business objectives. Design scalable tracking frameworks to support evolving product capabilities and customer use cases. Partner with Product, Engineering, and Customer teams to translate business questions into measurable hypotheses. Build dashboards and reporting systems that provide clear, actionable insights. Analyze user behavior, feature adoption, retention, and engagement to drive product improvements. Identify opportunities for optimization across onboarding, activation, and ongoing usage. Ensure data accuracy, consistency, and governance across analytics systems. Leverage AI tools where appropriate to enhance analysis, forecasting, and insight generation. Manage multiple analytical initiatives in a fast-moving environment. Requirements 4+ years of experience in product analytics, data analytics, or a similar analytical role within SaaS or technology companies. Experience building or significantly shaping analytics processes and measurement frameworks. Strong proficiency in SQL and experience working with modern BI tools. Experience defining product KPIs and building scalable tracking systems. Strong understanding of experimentation frameworks, A/B testing, and data-driven decision making. Ability to work cross-functionally and influence product decisions through data. Proven ability to manage multiple projects and shifting priorities. High ownership mindset with the ability to operate independently. Strong communication skills with the ability to present complex findings clearly to both technical and non-technical stakeholders. Nice to Have Experience working across multiple product lines or modular platforms. Familiarity with product-led growth metrics. Experience working in high-growth startup environments. Impact As Unframe scales across industries and use cases, data-driven decision making becomes a competitive advantage. This role is critical to building the analytical foundation that allows us to measure what matters, prioritize effectively, and scale with confidence. If you are excited about building analytics systems from the ground up and shaping how an AI company makes product decisions at scale, we would love to speak with you.

Responsibilities

Define and implement the product analytics strategy by establishing core KPIs and scalable tracking frameworks. Partner with cross-functional teams to analyze user behavior and provide actionable insights that drive product improvements and company growth.