Product Analyst

Posted 14 Days Ago
Be an Early Applicant
Tel Aviv-Yafo
Hybrid
1-3 Years Experience
Productivity • Software
monday.com makes work click
The Role
Play a critical role in promoting data-driven decision-making, leading deep dive analysis, and optimizing the product roadmap through A/B testing and data-driven insights. Collaborate with cross-functional teams to improve product offerings based on user behavior and data analysis.
Summary Generated by Built In

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 :

https://www.startupforstartup.com/cracking-a-b-testing/

https://omny.fm/shows/startupforstartup/209-a-b-2-0

https://omny.fm/shows/startupforstartup/215

#LI-DNI 


About The Role:

  • 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.


Our 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.

Requirements

  • 2+ 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

Top Skills

Pandas
Python
R
SQL

What the Team is Saying

Matthew Burns
Nate
Ruchita
Dipro
Nate
Kyle
The Company
HQ: New York, NY
1,500 Employees
Hybrid Workplace
Year Founded: 2012

What We Do

monday.com is a work operating system that transforms the way teams work together. We’ve created a solution that connects people to workplace processes promoting a culture of transparency & empowerment. We're obsessed with building an excellent product. Our goal is to create a work operating system that people will love to use—one that’s fast, beautiful & responsive.

Why Work With Us

At monday.com we believe in transparency, accountability, and impact. Together, those values have lent themselves to create a strong culture of professional and creative autonomy where every team member is encouraged to share ideas and help bring them to life!

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monday.com Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

monday.com embraces a flexible work environment with our hybrid model!

Typical time on-site: 3 days a week
HQNew York, NY
Chicago, IL
Denver, CO
London, GB
Melbourne, VIC
Miami, FL
São Paulo, BR
Sydney, NSW
Tel Aviv-Yafo, IL
Warsaw, PL
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