Lead BI Data Analyst
Posted Jun 17 · 0 applicants
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The role in plain words
This role takes full ownership of business analytics and BI across the company. The day-to-day responsibilities include performing deep analytical work on product, user, sales, and support data, building business data models, and developing dashboards. You will also define core KPIs with leadership and clean messy, inconsistent data.
- 6+ years of experience in Analytics / BI / Data roles
- Proven experience performing meaningful business analysis (beyond dashboards)
- Strong SQL skills
- Looker
- Hands-on experience with a Data Warehouse
- Python for data analysis
- Startup or data-driven company background
- Direct collaboration with leadership
- dbt
- Redshift
Extracted from the job description · kept up to date automatically
Who this suits
This role suits an independent professional with over six years of experience in analytics or BI roles who has strong SQL and Looker skills. It is less ideal for those looking for a large, established data team, as this is a hands-on, ownership-driven position acting as a primary data resource.
Full job description
Original listing · kept for referenceAbout Us Madlan is a data-driven company operating at the intersection of real estate, urban planning, and technology. Data is central to how we build products, support customers, and make strategic decisions. 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. We’re 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
Requirements: Must-have qualifications • 6+ years of experience in Analytics / BI / Data roles • Proven experience performing meaningful business analysis (beyond dashboards) • Strong SQL skills • Experience with Looker • Hands-on experience with a Data Warehouse • Experience building business data models • Strong business mindset and communication skills • Ability to work independently and lead initiatives end-to-end Advantage • Python for data analysis • Startup or data-driven company background • Direct collaboration with leadership • Experience with dbt, Redshift, AirFlow, AWS cloud, Power BI and Tableau • Experience as a first or early data hire
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- Hybrid
- 6+ years of experience in Analytics / BI / Data roles, Proven experience performing meaningful business analysis (beyond dashboards), Strong SQL skills, Looker, Hands-on experience with a Data Warehouse