לוח משרות דרושים BI Team Leader בתל אביב יפו, לחיפוש זה נמצאו 5 משרות

Were looking for a BI & Data Engineering Team Lead to join our BI team and take end-to-end ownership of high-impact analytics foundations while mentoring a team of 4-6 talented BI Data Engineers. This role sits at the core of how measures success, makes decisions, and scales-turning raw data into trusted, business-critical insights used across Product, GTM, and Finance.
In this role, you'll combine people leadership with hands-on technical depth (roughly 30% of your time), owning the roadmap, architecture, and delivery of BI platform. Youll shape how AI and agentic workflows transform the way BI is built and consumed, helping raise the bar for analytics engineering across the company.
Hands-on experience using GenAI to improve analytics engineering workflows, automate development processes, and increase delivery speed is a must for this role.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.

We are looking for a BI Lead to join our Data team. You will define the metrics the company runs on, make sure they are modeled correctly, and set the technical standards our analysts work with. You'll work directly with Sales, Product, and Marketing leaders to align on what we measure and why. As our technical lead for analytics, you own the definitions and standards that drive business decisions across.
As our BI Lead, you'll own the analytics function end-to-end: defining what we measure and why, setting technical and organizational standards for how we measure it, and empowering teams across the organization to make data-driven decisions. You'll be hands-on technically while also developing processes that scale.
Key Responsibilities:
Define, own, and validate business logic behind core KPIs with executives, align definitions with relevant stakeholders, and once approved, model them in the data warehouse to ensure consistent, trusted metrics across all teams.
Work closely with stakeholders across the company (Sales, Product, Marketing, etc.) to understand what needs to be measured, why and how.
Collaborate with Data Engineers and Business Analytics to design scalable data pipelines, data models, and semantic layers that support analytics, experimentation, and advanced modeling.
Lead the evaluation, selection, and optimization of BI and data infrastructure in collaboration with data engineering.
Build and maintain the cross-company dashboards and reports that business leaders actually rely on to make decisions.