לוח משרות דרושים Data Analyst Team Leader

We are seeking a results-driven Analytics Team Lead with a minimum of 4 years in leadership roles, preferably within Fintech or B2C. You will lead a team of 5+ multi-domain analysts, focusing purely on high-level analysis and business logic. This role does not involve ETL, data modeling, or pipeline management; it is dedicated to extracting value and driving strategy.
Key Responsibilities:
Team Management: Lead the sprint and backlog for a diverse team of 5+ analysts.
Methodology: Develop and implement standardized analytical frameworks and A/B testing rigor.
Operational Efficiency: Audit and optimize internal workflows to eliminate double-work and manual inefficiencies.
Metric Ownership: Define departmental North Star metrics and proactively educate stakeholders on change drivers.
Execution: Maintain a hands-on approach to meet deadlines and push cross-functional projects to completion.
AI Integration: Build and deploy AI tools/frameworks to assist the team in faster insight generation.

We are revolutionizing how people buy and rent homes by turning complex data into clear, actionable insights. Our experts - from data scientists to urban planners - generate dozens of insights for every address in Israel, helping people imagine life in a new home before they move in.
Were looking for one strong individual to take full ownership of our business analytics and BI - bringing structure, trust, and clarity before scale.
This is a hands-on, ownership-driven role.
You will be directly accountable for ensuring that business-critical data is Trusted, Consistent, Accessible And actively used for decision-making.
Analytics is the core of this role, not a side responsibility.
Responsibilities
Own end-to-end business analytics and BI across the company
Perform deep analytical work on product, user, sales, and support data
Translate business questions into structured analysis and actionable insights
Define, build, and maintain core KPIs with leadership and product
Clean, organize, and make sense of messy and inconsistent data
Build and maintain business data models (facts & dimensions)
Develop dashboards and reports that are actually used for decisions
Monitor key metrics, identify trends and anomalies, and proactively surface insights
Work closely with leadership, product, finance, and operations teams
Establish basic documentation and standards to reduce knowledge dependency
Use AI tools to transform raw data into actionable insights

We are looking for a Head of Data Analytics to build and lead the companys data platform and data strategy. The Head of Data will own our entire data platform, research, and data strategy.
This includes building the data infrastructure that powers the company, establishing reliable company-wide metrics, enabling data-driven decision making, and turning our dispute and payments data into a long-term product advantage.
This is a foundational leadership role responsible for making data a core capability across the organization.
The Head of Data Analytics will work closely with Product, Engineering, Operations, and Leadership to ensure data becomes a central part of how the company builds products and runs the business.
Your Arena:
Data Platform and Architecture - Design and lead the development of our modern data infrastructure:
Building scalable data pipelines across product, payments, disputes, and internal systems
Developing a centralized data warehouse as the companys single source of truth
Ensuring data quality, reliability, and observability
Establishing data governance and best practices
Company Metrics and Decision Intelligence - Define and standardize the core metrics used across the company:
Establishing a consistent metrics framework across product, revenue, and operations
Building dashboards used by leadership and operational teams
Ensuring reliable and accessible reporting across the organization
Supporting data-driven decision making at the leadership level
Product Data and Insights - Partner with Product and Engineering to leverage our unique dispute and payment data:
Identifying patterns and insights across disputes and recovery performance
Enabling data-driven product development
Supporting predictive capabilities and automation in dispute management
Helping build product features powered by data insights
Operational Intelligence - Provide visibility and insights into dispute operations and business performance:
Building operational analytics dashboards
Supporting forecasting and capacity planning
Identifying automation opportunities
Improving operational performance through data insights
Building the Data Organization - Build and lead the companys data team:
Hiring and managing data engineers, analytics engineers, and analysts
Establishing strong data culture and best practices
Enabling teams across the company to use data effectively
Ensuring data privacy, security, and governance standards
What Success Looks Like - Within the first 12-18 months:
We operate from a trusted company-wide data platform
Leadership and teams rely on consistent and reliable metrics
Product teams leverage dispute data to build data-powered features
Operational performance becomes clearly measurable and optimized
A strong Data organization is established and growing.