Senior Data Analyst
2 weeks ago
About Us:
Clay is revolutionizing architectural visualization and project management for production and multifamily builders. Our advanced 3D technology and project management platform enable builders to manage leads, track purchaser data, and leverage a comprehensive data platform, all within an immersive, customizable environment. With AI-driven insights and powerful visualization tools, Clay transforms the way builders market and sell their projects. As a team dedicated to pushing the boundaries of what's possible, we're looking for a Data Analyst who shares our vision and can drive product growth with production and multifamily builders.
Role Overview:
We are seeking a Data Analyst who is passionate about leveraging data to make informed decisions. The ideal candidate will be responsible for collecting, analyzing, and interpreting complex datasets to support various business operations and strategic initiatives. You'll collaborate closely with our product, sales, and marketing teams to deliver actionable insights and drive results.
Key Responsibilities:
• Collect, clean, and analyze large sets of structured and unstructured data from various sources.
• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs) and provide real-time insights to stakeholders.
• Use statistical techniques to interpret data and identify trends, patterns, and correlations.
• Work closely with cross-functional teams to understand data needs and provide data-driven recommendations.
• Present findings in clear, concise visualizations and reports to both technical and non-technical stakeholders.
• Assist in the design and implementation of data collection and analysis frameworks to support product development and marketing strategies.
• Ensure data quality, accuracy, and integrity across all datasets.
Requirements:
• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 3+ years of experience in data analysis or a related field.
• Proficiency with data analysis tools such as SQL, Python, or similar.
• Experience with data visualization tools (e.g., Power BI, or similar).
• Ability to work with large datasets and interpret complex data structures.
• Excellent communication skills, with the ability to explain data insights to both technical and non-technical audiences.
• Strong problem-solving skills and attention to detail.
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