monday.com is looking for a Product Analyst who is passionate about data and has a strong analytical background. You will drive key data-driven processes and decisions, aimed at finding new and existing opportunities for our product. You will join our Product Team based in our headquarters in Tel aviv, Israel.
Get a sense of what it feels like in this podcast :
monday.com is looking for a Product Analyst who is passionate about data and has a strong analytical background. You will drive key data-driven processes and decisions, aimed at finding new and existing opportunities for our product. You will join our Product Team based in our headquarters in Tel aviv, Israel.
Get a sense of what it feels like in this podcast :
- Play a critical role in promoting data-driven decision-making and optimize our product to directly impact the success and growth of our platform
- Be the primary analytical focal point for your group and main stakeholders*
- Lead deep dive analysis to uncover new opportunities and directly determine the product roadmap
- Responsible for analyzing complex data sets, identifying key insights, and translating them into actionable recommendations to enhance our product offerings
- Develop hypotheses, design experiments, and conduct A/B tests to measure the impact of product changes and optimize key metrics.
- Create and maintain dashboards to track product performance, monitor KPIs, and communicate insights to the team.
- Collaborate with product managers, designers, and engineers to identify opportunities for product improvements based on data data-driven insights.
Your Experience & Skills
- 5+ years of experience in a similar data analyst role
- Proficiency level of SQL - must
- You are a great storyteller and communicator and can build fruitful relationships with a diverse set of stakeholders
- You have a deep understanding of numbers, as well as a strong business sense. You know when to use a single number and when to build a complex forecasting model
- You are capable of tackling ambiguous problems and challenges
- You have a passion for making sense of user behaviour, using any available methods and a dedicated advocate of a user-centered approach in product development
- You are a curious, independent and rigorous individual
- You have the technical skills to perform advanced analytics with large datasets with technologies such as Python, Pandas, R, SQL
If you’re having trouble submitting this form, please send us an email with your CV and a link to the position at: jobs@monday.com
If you’re having trouble submitting this form, please send us an email with your CV and a link to the position at: jobs@monday.com
We believe in equal opportunity.
monday.com is an equal opportunity employer and bans discrimination and harassment of any kind. monday.com is committed to the standard of equal employment opportunity for all employees and to creating and maintaining a workplace free of discrimination and harassment.
All qualified applicants will be considered for employment regardless of any personal characteristic. We encourage candidates from all backgrounds to apply, regardless of their race, religion, national origin, ethnicity, sexual orientation, gender identity, age, marital status, family or parental status, physical or mental disability or any other status protected by the laws or regulations in the locations where monday.com operates.
monday.com is committed to working with and providing access and reasonable accommodation to applicants with any disabilities. If you think you may require accommodation for any part of the recruitment process, please send a request to accommodations@monday.com.
All requests for accommodation are treated confidentially , as practical and permitted by law.
Meet the Product team
The Product Team is a group of innovative individuals who are passionate about building impactful, state-of-the art products and thrive in a hyper-growth and problem-solving environment. Our work not only shapes our entire platform, it also influences the day-to-day of more than 100,00 businesses (and counting) which rely on monday.com.
Listen to our team's playlist on Startup for Startup podcast
Founders and members of the startup ecosystem share experience, advice, and tips
Check out our team's articles on monday.com blog
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