Want to get hired at Monday.com?
Market Research Analyst
Monday.com
Tel Aviv-Yafo, Tel Aviv District, IsraelOn Site
Original Job Summary
About monday.com
We are monday.com, a global software company transforming how businesses run, empowering approximately 245,000 customers worldwide with a powerful adaptable platform.
About the Role: Market Research Analyst
This role is not your usual data analyst position. As a Market Research Analyst, you will conduct deep customer data research, analyze large complex datasets, design quantitative research, build and manage dashboards, and communicate actionable insights for product and business decision making.
- Conduct deep analysis of customer behavior trends
- Build and manage customer experience KPIs dashboards (NPS, Sentiment, etc.)
- Design and execute quantitative research including surveys
- Perform advanced statistical analyses (regression, cluster analysis, pricing sensitivity)
- Collaborate cross-functionally with market research, product, and data teams
Requirements
- BA in business, economics, statistics, or social sciences (MA advantage)
- 3+ years hands-on data research and analysis
- Advanced SQL skills and experience with large datasets
- Dashboard building experience in Tableau
- Experience with statistical tools (SPSS, R, Qualtrics)
- Knowledge of behavioral KPIs (NPS, CES, CSAT, etc.)
- Proven record in managing cross-company data research projects
- Strong problem-solving, critical thinking, and creative initiative
Key skills/competency
- Data Analysis
- Market Research
- Customer Insights
- SQL
- Tableau
- Statistics
- Dashboarding
- Quantitative Research
- Survey Methodologies
- Advanced Analytics
How to Get Hired at Monday.com
🎯 Tips for Getting Hired
- Customize your resume: Highlight market research and analytics experience.
- Emphasize technical skills: Showcase SQL, Tableau, and statistical tools.
- Research monday.com: Understand their platform and global impact.
- Prepare case studies: Share examples of actionable insights.
📝 Interview Preparation Advice
Technical Preparation
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Review SQL query techniques.
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Practice Tableau dashboard building.
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Brush up on regression and clustering.
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Familiarize with SPSS and R basics.
Behavioral Questions
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Describe a complex research project.
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Explain cross-team collaboration experiences.
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Discuss handling tight deadlines.
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Share a success story in data impact.