דרושים » דאטה » Analytics Team Lead

We are seeking a Senior Manager / Director of Data Analytics to own and lead our customer analytics domain. This is a high-impact, hands-on leadership role responsible for turning large-scale, global data into insights, dashboards, alerts, and analytical tools that drive executive decisions and customer success.
This role reports directly to the VP of R&D and works closely with executive stakeholders across the company. We are looking for a strong pusher with high energy - someone who proactively drives analytics forward, challenges assumptions, and makes things happen.
Responsibilities
Lead a small team of data analysts, while remaining deeply hands-on
Act as a driver and pusher - proactively identify gaps, opportunities, and insights
Own analytics for customer data, including:
Usage and adoption
Cost and efficiency
Pricing and monetization insights
Detection of abnormal or anomalous behavior
Design and deliver dashboards, reports, and automated alerts for executives and customer-facing teams
Work closely with R&D, Product, and business leaders to turn data into action
Operate in a fast-moving, high-energy environment, managing multiple priorities
Apply and help evolve AI-driven analytics and agent-based approaches
Support and scale analytics across a global data footprint.

In this role, youll 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 platform.

What Youll 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