Senior Business Intelligence (BI) Analyst

About us:

Madlan is revolutionizing how people buy and rent new homes by empowering them with knowledge. Our experts: data scientists, city planners, and cartographers are working to generate dozens of insights for every address in Israel. We enable people to envision what life would be like in a new home before signing a contract and moving in.

Our goal is not only to provide great service to our customers, but also to help the company learn and improve based on insights the support team gains from our customers.

About the Role

We are seeking a Senior BI Analyst with a strong analytical mindset and a solid foundation in engineering to join our growing data team. This role sits at the intersection of data, business, and technology—delivering high-impact insights and helping shape data-driven decision-making across the organization.

The ideal candidate combines a passion for business analytics with technical depth, enabling them to extract insights, optimize data pipelines, and support strategic initiatives with high-quality dashboards, reports, and data models.

Responsibilities

Translate business questions into data requirements and actionable insights
Build, maintain, and optimize dashboards and reports using Looker.
Bring insights and suggestions to Product Managers, Sales, Customer Success, and Management by conducting deep analysis and research.
Monitoring product metrics to alert about changes/issues
Perform in-depth data analysis, identify trends, and present findings clearly to both technical and non-technical audiences
Collaborate with our Data Engineer to ensure clean, reliable, and scalable data sources
Write SQL queries and scripts to extract, transform, and analyze large datasets
Help define and track KPIs across departments and products
Participate in the development and maintenance of the data warehouse and data governance practices
Contribute to team knowledge sharing, tool development, and process improvement initiatives

Requirements:

Requirements

5+ years of experience in Business Intelligence, Data Analytics, or a related field
4+ years of proficiency in SQL is a must
2+ years of experience with Looker
Statistical analysis experience
3+ years of experience with a scripting language like Python
Experience with AI tools - an advantage
Strong understanding of data modeling, ETL processes, and analytical best practices
Background in engineering or computer science – hands-on experience with data pipelines or APIs is a plus
Ability to manage multiple priorities and stakeholders in a fast-paced environment
Excellent communication and storytelling skills – able to translate complex data into business context
Comfortable working independently and collaboratively across teams

Hybrid work model:
Yes