Fiverr is looking for a talented student to join our Data team. As part of this position you will work closely with our product and business groups. You will take a significant part in decision-making and proactively guide our business growth based on data analysis and statistical research. You will work independently and as a team member on the most interesting and innovative analyses that are available in the online industry. This is a unique opportunity to join our analytical team.
This position required availability to work at least 2 days a week (50% position).
What am I going to do:
- Run ad-hoc analysis and share insights
- Assist in analyzing and deriving actionable optimizations with the goal of improving the user experience.
- Provide supporting data for prioritizing new features and initiatives.
- Make data accessible through well-defined tracking and processes.
- Build and maintain reports alerts and dashboards.
Equal opportunities:
At Fiverr we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race color religion sex sexual orientation citizenship national origin disability Veteran status or any other characteristic protected by addition Fiverr will provide accommodation to individuals with disabilities or a special need.
Requirements:
- Student for in industrial/information systems engineering statistics or equivalent with at least 3 semesters remaining until graduation.
- Ability to work in a fast-paced hosted start-up environment at least 2 days a week.
- Proactive and out-of-the-box thinking high communication skills.
- Familiarity with SQL and working with relational databases- Must.
- Exposure to Large Language Models (LLMs) such as fine-tuning prompt/context engineering or working with modern AI/LLM toolchains
Fiverr is looking for a talented student to join our Data team. As part of this position you will work closely with our product and business groups. You will take a significant part in decision-making and proactively guide our business growth based on data analysis and statistical research. You will...
Fiverr is looking for a talented student to join our Data team. As part of this position you will work closely with our product and business groups. You will take a significant part in decision-making and proactively guide our business growth based on data analysis and statistical research. You will work independently and as a team member on the most interesting and innovative analyses that are available in the online industry. This is a unique opportunity to join our analytical team.
This position required availability to work at least 2 days a week (50% position).
What am I going to do:
- Run ad-hoc analysis and share insights
- Assist in analyzing and deriving actionable optimizations with the goal of improving the user experience.
- Provide supporting data for prioritizing new features and initiatives.
- Make data accessible through well-defined tracking and processes.
- Build and maintain reports alerts and dashboards.
Equal opportunities:
At Fiverr we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race color religion sex sexual orientation citizenship national origin disability Veteran status or any other characteristic protected by addition Fiverr will provide accommodation to individuals with disabilities or a special need.
Requirements:
- Student for in industrial/information systems engineering statistics or equivalent with at least 3 semesters remaining until graduation.
- Ability to work in a fast-paced hosted start-up environment at least 2 days a week.
- Proactive and out-of-the-box thinking high communication skills.
- Familiarity with SQL and working with relational databases- Must.
- Exposure to Large Language Models (LLMs) such as fine-tuning prompt/context engineering or working with modern AI/LLM toolchains
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