דרושים » תוכנה » Technical data Analyst

We're looking for a Data Analyst Team Leader to join our office in Tel Aviv and play a key role in our success.>
Responsibilities:
As Data Analyst Team Leader, you will:
Split your time evenly between team leadership (50%) and hands-on analytical work (50%)
Personally analyze large datasets from our sensors to discover critical trends in hive state, health, and pollination efficiency
Lead and mentor a team of data analysts, fostering professional growth while staying deeply involved in technical execution
Directly build and optimize dashboards and reports that communicate key metrics across the organization
Write and review code for data pipelines, analytical models, and visualization tools
Develop and implement data quality processes while maintaining your technical edge through active coding
Balance strategic leadership with day-to-day technical contribution across multiple concurrent projects.

As the Vice President of Data, you will define and drive the companys data vision, leading the strategy and execution across Data Product, Data Science, and Data Analytics. This is a critical leadership role that will
shape how we use data to generate insights, power our SaaS platform, and drive business value across the organization. Youll report to senior leadership and play a key role in shaping our product, operations, and
go-to-market teams through data.
Key Responsibilities
Define and champion a unified data vision aligned with business goals.
Serve as a strategic leader and key voice in company-wide decision-making through data.
Partner cross-functionally with Product, Engineering, Marketing, Sales, Customer Success, and Finance.
Lead three key functions: Data Product Develop analytics tools, embedded dashboards, and usage insights, Data Science Drive predictive modeling, experimentation, and AI/ML features. and Data Analytics Deliver scalable reporting and actionable intelligence across departments.
Guide team leads, define org structure, and support ongoing hiring and mentoring efforts.
Build and promote a data-driven, high-impact culture.
Foster transparency, curiosity, and continuous improvement across the team.
Lead post-mortems, quality audits, and key roadmap reviews.
Set and track key metrics: business impact, delivery velocity, system stability, and data integrity.