Elementor Head BI Analytics 

Israel 

592612025

• Manage, mentor, and lead a team of skilled team leaders, BI Developers, and Analysts.
• Create a balanced environment for group members to thrive in.
• Recruit, hire, retain, and mentor top talent engineers, while continuously improving the team (structure, processes, stability, quality, and deliverables).
• Take part in forming engineering culture, vision, and cross-department processes.
• Participate in solution design, set technical direction and quality standards, and guide implementation.
• Monitor the development process and take full ownership and responsibility for the data field.
• Develop robust and scalable software components and services.
• Define and track key metrics to evaluate the success of data initiatives, ensuring transparency and accountability at every level.
• Establish robust data governance, creating clear standards for data quality, lineage, and single sources of truth (SSOT).
• Build a future-ready data ecosystem, developing a scalable, cloud-based data architecture that supports diverse data sources and real-time analytics.
• Empower a self-service culture by driving the adoption of "data as a product" (DaaP) principles, making insights accessible and actionable across the organization.
• Lead advanced analytics efforts by championing the integration of AI/ML technologies to derive predictive insights, optimize operations, and unlock growth opportunities.
• Foster collaboration across teams by uniting data engineers, analysts, and business leaders under a cohesive operational model.
• Upskill and empower talent by introducing training programs that embed data expertise within every business unit.

Leadership Skills:

• Experience as a Software Group Manager / R&D Director / Director of BI & Analytics.
• 7+ years of broad management experience: individuals, teams, and project management.
• Great communication skills.
• A true team player.
• “I can move a mountain” attitude when needed.

Technical Expertise:

• 10+ years of extensive experience in Data Analytics and Business Intelligence.
• Expertise in leading cross-organizational processes to improve business results and best practices.
• Extensive experience in structuring and solving problems with analytical skills (e.g., investigation, modeling, mapping, and gap analysis) and techniques (e.g., trend analysis, forecasting, and experimental design).
• Experience with at least one of the following visualization tools: Tableau, QlikView, Qlik Sense, Power BI.
• Experience in building reliable and scalable ETL/ELT pipelines.
• Experience working with data tools such as Redshift, BigQuery, Snowflake, Databricks, Airflow, DBT, MySQL, and Google Analytics.
• Experience in building tools and processes to enable teams to rapidly and reliably develop, deploy, and run data solutions.
• Experience working with multiple web analytics platforms like Google Analytics, Google Ads, and Facebook Ads—an advantage.
• Working with cloud-related data services (AWS / Azure / GCP / Databricks) — an advantage.