Product Analyst

Description:

As a Product Analyst at Lusha, you’ll act as a strategic data partner for our Product teams, working at the intersection of product strategy, user experience, and data-driven decision-making.

You won’t just analyze data - you’ll help shape the product roadmap. Working side-by-side with Product Managers, Designers, and Engineers, you’ll uncover user friction points, measure the success of our Sales Streaming features, and drive growth through deep analysis, experimentation, and clear insights.

In this role, you’ll play a pivotal part in answering the “why” behind user behavior, helping us understand how sales professionals discover, adopt, and extract long-term value from Lusha’s platform.

What You’ll Actually Do:

• Act as an embedded data partner for a Product squad (e.g. Growth, Core Platform, or Data Enrichment), influencing product decisions by quantifying opportunities and forecasting impact
• Perform deep-dive analyses across the full user journey, from first interaction and activation to retention and power usage
• Design, execute, and analyze complex A/B tests and experiments, providing clear recommendations on whether to iterate, scale, or sunset features
• Partner with Product Managers to define success metrics, North Star KPIs, and measurement frameworks for new and existing product initiatives
• Translate complex datasets (SQL / Python) into clear, compelling insights and narratives for stakeholders, including senior leadership
• Build and maintain self-service dashboards (Tableau, Looker, or similar) that empower Product teams to answer day-to-day questions independently
• Continuously improve data accessibility, quality, and trust across Product Analytics

• 4+ years of experience in Product Analytics or Data Analytics, preferably in a B2B SaaS or Product-Led Growth environment
• Expert-level SQL skills, with the ability to write clean, efficient, and optimized queries
• Proficiency in Python or R for statistical analysis and data manipulation
• Hands-on experience with data visualization tools such as Tableau, Looker, or Power BI
• Strong statistical knowledge, including hypothesis testing, confidence intervals, and experimental design
• Solid understanding of SaaS and product metrics such as Retention, Churn, LTV, CAC, ARPU, and activation funnels
• Excellent communication and storytelling skills, with the ability to clearly present insights and recommendations to non-technical and senior stakeholders

Nice to have:

• Experience analyzing browser extensions or data enrichment products
• Familiarity with event-tracking tools such as Mixpanel, Amplitude, or Heap
• Experience identifying “Aha!” moments and optimizing user activation flows