Data Analyst
Role details
Job location
Tech stack
Job description
- Analyze data to uncover trends and support decision-making.
- Design dashboards and data visualizations for stakeholders.
- Collaborate with stakeholders to understand their needs., As a Data Analyst, you will have a cross-functional role and collaborate closely with teams to understand our data and develop insights.
- Advanced analytics & data science: Explore and analyze data to uncover trends, patterns, and potential issues that will support decision-making processes across all teams. Contribute to data science initiatives by building predictive models and applying statistics to generate deeper insights and drive measurable business impact.
- Reporting and Data Visualization: Design and create dashboards and data visualizations that empower stakeholders to explore data autonomously. Leveraging AI tools to move faster, focus on what matters most: defining the right metrics, surfacing meaningful insights, and ensuring data is understood and acted upon across the company.
- AI and data integration: Actively contribute to bridging our data with the AI tools we use, ensuring insights are integrated and maintained over time.
- Stakeholder collaboration: Work hand-in-hand with stakeholders to understand their needs, collect their feedback, and evangelize data usage to help them make smarter choices and become more autonomous over time.
- Continuous Learning and Improvement: Grow along the way and keep up with the latest analytical methods, AI developments, and tools in our data stack.
Requirements
The ideal candidate has 2+ years in data analysis, a genuine interest in AI, and strong problem-solving skills. Enjoy a flexible work environment and numerous perks, including top-market compensation and work-from-anywhere options., * 2+ years of professional experience in data analysis.
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Fluent in English, both written and spoken.
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Genuine interest in AI applications., Data analysis Problem-solving Analytical skills Trend analysis Stakeholder collaboration Data visualization, * Experience: 2+ years of professional experience in data analysis (relevant internships can count). We hire across different seniority levels, so we encourage you to apply even if you are more experienced.
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Interest in AI: Genuinely curious about AI and its applications, eager to leverage it in day-to-day work to move faster and create more impact.
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Mindset: Entrepreneurial mindset, likes challenges, welcomes feedback and is willing to get better every day to reach excellence.
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Problem-solving & Analytical skills: Loves solving complex problems and analyzing data.
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Coding knowledge: Mastering SQL and Python is not mandatory, as you can still learn when joining, but it's a plus.
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Business acumen: Understands the needs of business stakeholders and gets the big picture of how the business is running.
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Communication: Presents conclusions clearly and concisely (written and oral).
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Education: Graduated from a top-tier business or engineering school.
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Languages: Fluent in English, both written and spoken.