Senior Product Analyst

TL;DR

Senior Product Analyst: Driving product and customer data-driven insights to influence product strategy, business cases, and executive recommendations with an accent on deep-dive analysis, forecasting, and building/maintaining high-quality dashboards. Focus on separating signal from noise, improving reporting quality and data governance, and partnering with product managers and engineers to ensure the right data is generated and collected.

Location: Tel Aviv

Company

hirify.global builds an AI-powered revenue intelligence platform that unifies data, insights, and workflows for revenue teams.

What you will do

• Present product and customer insights to product management and senior leadership, and recommend actions based on analysis outcomes.
• Build business cases for new product functionality and track effectiveness over time using key metrics, trends, and forecasts.
• Lead deep-dive analyses to shape product strategy and roadmap decisions.
• Strengthen a data-centric culture by improving reporting quality, data hygiene, and data governance.
• Own the design, development, and maintenance of ongoing dashboards and their underlying data sets.
• Collaborate with product managers and engineers to ensure correct data generation and collection.

Requirements

• 5+ years of experience as a data or product analyst, preferably in a growing tech company.
• Degree in Industrial Engineering, Statistics, Economics, or another quantitative field.
• Proven ability to translate insights into business changes with measurable performance lift.
• Strong statistical analysis skills, including quickly separating data from noise.
• Proficiency in SQL and Excel for data querying and manipulation; comfort using additional data access/analysis tools.
• Experience with product analytics methodologies and delivering high-quality, accurate analytics.

Nice to have

• Experience creating and maintaining dashboards using Tableau, Looker, or similar tools.

Culture & Benefits

• Hybrid working model combining work from home, on the go, or at the office.
• Ownership-driven culture focused on solving complex problems and making data-based decisions.
• Opportunity to influence product strategy and operations through analysis of complex product data.
• Emphasis on transparency, trust, fairness, and equal opportunities.

Hiring process

• Submit application details for review.
• Interview process to evaluate analytics experience, product thinking, and collaboration fit.