Data Analyst

At BeeHero, we believe technology should do more than just make life easier; it should drive real-world impact. Our mission is to future-proof the global food supply through precision pollination. BeeHero is a data-driven company that has developed a unique platform that leverages low-cost IoT sensors and artificial intelligence to collect and analyze data on bee behavior and pollination patterns. This data is then used to help farmers and food producers optimize their crop yields, improve crop quality, and enhance overall ecosystem health. With BeeHero’s technology, farmers gain deep insights into the complex world of pollination and can make more informed decisions about how to manage their land and resources. This data empowers farmers with actionable insights to boost crop yields, improve quality, and support the health of our ecosystems. With BeeHero’s technology, farmers gain deep insights into the complex world of pollination and can make more informed decisions about how to manage their land and resources.

We're looking for a Data Analyst to join our office in Tel Aviv and play a key role in BeeHero's success.

Responsibilities:

• Analyze data from our sensors to identify patterns in hive state, health, and pollination efficiency on daily basis
• Collaborate with team members on data-driven projects that improve our product offerings
• Investigate product challenges through data examination and help identify solutions
• Create and maintain dashboards to visualize key performance indicators
• Assist in developing processes to monitor model performance and data accuracy
  
  

• 2-3 years of experience as a Data Analyst
• Proficiency in Python and SQL for data manipulation and analysis
• Experience with data visualization tools and techniques
• Problem-solving skills with attention to detail and product quality
• Ability to work both independently and as part of a team
• Eagerness to learn new technologies and analytical approaches
• Bachelor's degree in a quantitative field (statistics, mathematics, computer science, or related field) preferred