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Monday Senior Product Analyst Italy, Abruzzo, Chieti 966134435
11.08.2024
You are 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 products.
About The Role
You are 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 products.
- Play a critical role in promoting data-driven decision-making and optimizing our product to directly impact the success and growth of our platform.
- Serve as the primary analytical point of contact for your team and key stakeholders.
- Lead in-depth analyses to uncover new opportunities and shape the product roadmap.
- Analyze complex data sets to identify key insights and translate 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-driven insights.
Your Experience & Skills
- 5+ years of experience in a similar product analyst role.
- Proficiency in SQL is essential.
- Strong storytelling and communication skills, with the ability to build productive relationships with a diverse range of stakeholders.
- Deep understanding of numerical data and strong business acumen; skilled in using both simple metrics and complex forecasting models effectively.
- Ability to tackle ambiguous problems and challenges with a solution-oriented approach.
- Passionate about understanding user behavior using various methods and a dedicated advocate of a user-centered approach in product development.
- Curious, independent, and rigorous with a keen eye for detail.
- Technical expertise in performing advanced analytics on large datasets using technologies such as Python, Pandas, R, and SQL.
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