Senior Product Analyst (AI)

Location: Remote within Egypt, Jordan, or Lebanon

Company

hirify.global is an AI-native customer experience intelligence platform offering Social Listening, OmniServe, Survey, and AI Agent products for enterprise organizations.

What you will do

• Turn product data into decisions and help define KPIs, success metrics, and measurement plans.
• Analyse customer journeys, funnels, cohorts, adoption, engagement, retention, churn, and behavioural patterns.
• Evaluate feature performance, experiments, and A/B tests to guide product improvements, scaling, repositioning, or discontinuation.
• Identify anomalies, emerging trends, product risks, and opportunities proactively.
• Build analytical frameworks, dashboards, documentation, and self-service resources for Product teams.
• Communicate insights through clear visualisations, recommendations, leadership reporting, workshops, and cross-functional collaboration.

Requirements

• 4+ years of experience in product analytics, digital analytics, business intelligence, or a related field working directly with digital Product teams.
• Independent proficiency with SQL and large datasets.
• Experience with product analytics or business intelligence tools such as Mixpanel, Heap, Pendo, Metabase, Amplitude, Looker, Tableau, Power BI, or similar.
• Deep understanding of funnels, journeys, cohorts, retention, engagement, adoption, churn, and customer behaviour.
• Ability to translate ambiguous business questions into structured analysis and actionable recommendations.
• Professional working proficiency in English and effective communication in a remote environment.

Nice to have

• Experience designing or evaluating A/B tests and experiments, including statistical analysis.
• Familiarity with modern data stacks, data warehouses, transformation tools, event tracking, analytics instrumentation, or data governance.
• Experience building a product analytics function or data culture and presenting recommendations to senior leadership.
• Working knowledge of Python or R.
• Experience with B2B SaaS, enterprise products, AI products, or complex data-driven platforms.

Culture & Benefits

• Remote collaboration across Product, Design, Engineering, and business stakeholders.
• Proactive, self-directed work with autonomy in identifying and investigating important questions.
• Opportunity to improve data literacy, evidence-based decision-making, and product intelligence.

Hiring process

• Recruiter screening.
• Analytics interview followed by a case study or analytical exercise.
• Presentation interview with Product or business stakeholders, followed by a leadership and culture interview.