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Data Analytics Team Lead

Business IntelligenceRamat Gan, IL

About The Position

LSports has positioned itself as the number 1 provider of sports data in the world. On its mission to bring innovation to the industry, the company has mastered sports data collection and analysis, advanced data management, and unique stimulation services such as AI-based sports tips, high-quality sports visualization, and more.

The sports data industry is still growing, and LSports real-time solutions are at the forefront.

If you share our love of sports and tech, you've got the passion and will to better the sports-tech and data industries - join the team! We are looking for a highly motivated Head of Data Analytics


  • Build the foundations of data analytics in the company
  • Work closely with management and key individuals to define the Metrics, KPIs, and our main dashboards
  • Lead the data analytics projects end-to-end, from requirements to design, development, implementation, and support
  • Define and Build the Extracts from key internal data sources (CRM, ERP, and more)
  • Grow, Train, Coach, mentor, and guide the data analytics team of Data Analysts to provide actionable, meaningful insights to the company
  • Evaluate and improve business KPIs through data
  • Build the infrastructure and governance for self-service and ad-hoc analysis.


  • At least 5 years in hands-on data analyst / BI developer / Data engineer position, and at least 2 years experience leading a team.
  • Excellent proficiency in SQL.
  • Experience in defining company metrics and KPIs
  • Experience in data modeling, developing efficient extracts from multiple sources and large data sets
  • Experience with data processes orchestration and cloud ETL/ELT tools
  • Experience with data-driven alerts
  • Experience in high-quality dashboards development, with best-in-class user experience.
  • Experience with setting infrastructure for self-service data analysis
  • Excellent communication skills in English, with the ability to deliver the results of analyses clearly and effectively.
  • Fast learning capabilities and proven ability to multitask – working on several projects at a time.
  • Experience building data infrastructure from scratch – an advantage.
  • Experience in Tableau – an advantage.
  • Experience with Embedded Analytics – an advantage.


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the best sports data feeds
in the world

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